[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-huggingface-huggingface-tool-builder":3,"mdc--ynqzws-key":35,"related-org-huggingface-huggingface-tool-builder":1503,"related-repo-huggingface-huggingface-tool-builder":1678},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":30,"sourceUrl":33,"mdContent":34},"huggingface-tool-builder","build tools using the Hugging Face API","Use this skill when the user wants to build tool\u002Fscripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated\u002Fautomated. This Skill creates a reusable script to fetch, enrich or process data.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"huggingface","Hugging Face","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fhuggingface.png",[12,15,18,21],{"name":9,"slug":13,"type":14},"hugging-face","tag",{"name":16,"slug":17,"type":14},"LLM","llm",{"name":19,"slug":20,"type":14},"Automation","automation",{"name":22,"slug":23,"type":14},"API Development","api-development",10861,"https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fskills","2026-04-06T18:25:41.493107",null,721,[],{"repoUrl":25,"stars":24,"forks":28,"topics":31,"description":32},[],"Give your agents the power of the Hugging Face ecosystem","https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Fhuggingface-tool-builder","---\nname: huggingface-tool-builder\ndescription: Use this skill when the user wants to build tool\u002Fscripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated\u002Fautomated. This Skill creates a reusable script to fetch, enrich or process data.\n---\n\n# Hugging Face API Tool Builder\n\nYour purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the `hf` command line tool. Model and Dataset cards can be accessed from repositories directly.\n\n## Script Rules\n\nMake sure to follow these rules:\n - Scripts must take a `--help` command line argument to describe their inputs and outputs\n - Non-destructive scripts should be tested before handing over to the User\n - Shell scripts are preferred, but use Python or TSX if complexity or user need requires it.\n - IMPORTANT: Use the `HF_TOKEN` environment variable as an Authorization header. For example: `curl -H \"Authorization: Bearer ${HF_TOKEN}\" https:\u002F\u002Fhuggingface.co\u002Fapi\u002F`. This provides higher rate limits and appropriate authorization for data access.\n - Investigate the shape of the API results before commiting to a final design; make use of piping and chaining where composability would be an advantage - prefer simple solutions where possible.\n - Share usage examples once complete.\n\nBe sure to confirm User preferences where there are questions or clarifications needed.\n\n## Sample Scripts\n\nPaths below are relative to this skill directory.\n\nReference examples:\n- `references\u002Fhf_model_papers_auth.sh` — uses `HF_TOKEN` automatically and chains trending → model metadata → model card parsing with fallbacks; it demonstrates multi-step API usage plus auth hygiene for gated\u002Fprivate content.\n- `references\u002Ffind_models_by_paper.sh` — optional `HF_TOKEN` usage via `--token`, consistent authenticated search, and a retry path when arXiv-prefixed searches are too narrow; it shows resilient query strategy and clear user-facing help.\n- `references\u002Fhf_model_card_frontmatter.sh` — uses the `hf` CLI to download model cards, extracts YAML frontmatter, and emits NDJSON summaries (license, pipeline tag, tags, gated prompt flag) for easy filtering.\n\nBaseline examples (ultra-simple, minimal logic, raw JSON output with `HF_TOKEN` header):\n- `references\u002Fbaseline_hf_api.sh` — bash\n- `references\u002Fbaseline_hf_api.py` — python\n- `references\u002Fbaseline_hf_api.tsx` — typescript executable\n\nComposable utility (stdin → NDJSON):\n- `references\u002Fhf_enrich_models.sh` — reads model IDs from stdin, fetches metadata per ID, emits one JSON object per line for streaming pipelines.\n\nComposability through piping (shell-friendly JSON output):\n- `references\u002Fbaseline_hf_api.sh 25 | jq -r '.[].id' | references\u002Fhf_enrich_models.sh | jq -s 'sort_by(.downloads) | reverse | .[:10]'`\n- `references\u002Fbaseline_hf_api.sh 50 | jq '[.[] | {id, downloads}] | sort_by(.downloads) | reverse | .[:10]'`\n- `printf '%s\\n' openai\u002Fgpt-oss-120b meta-llama\u002FMeta-Llama-3.1-8B | references\u002Fhf_model_card_frontmatter.sh | jq -s 'map({id, license, has_extra_gated_prompt})'`\n\n## High Level Endpoints\n\nThe following are the main API endpoints available at `https:\u002F\u002Fhuggingface.co`\n\n```\n\u002Fapi\u002Fdatasets\n\u002Fapi\u002Fmodels\n\u002Fapi\u002Fspaces\n\u002Fapi\u002Fcollections\n\u002Fapi\u002Fdaily_papers\n\u002Fapi\u002Fnotifications\n\u002Fapi\u002Fsettings\n\u002Fapi\u002Fwhoami-v2\n\u002Fapi\u002Ftrending\n\u002Foauth\u002Fuserinfo\n```\n\n## Accessing the API\n\nThe API is documented with the OpenAPI standard at `https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json`.\n\n**IMPORTANT:** DO NOT ATTEMPT to read `https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json` directly as it is too large to process. \n\n**IMPORTANT** Use `jq` to query and extract relevant parts. For example, \n\n Command to Get All 160 Endpoints\n\n```bash\ncurl -s \"https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json\" | jq '.paths | keys | sort'\n```\n\nModel Search Endpoint Details\n\n```bash\ncurl -s \"https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json\" | jq '.paths[\"\u002Fapi\u002Fmodels\"]'\n```\n\nYou can also query endpoints to see the shape of the data. When doing so constrain results to low numbers to make them easy to process, yet representative.\n\n## Using the HF command line tool\n\nThe `hf` command line tool gives you further access to Hugging Face repository content and infrastructure. \n\n```bash\n❯ hf --help\nUsage: hf [OPTIONS] COMMAND [ARGS]...\n\n  Hugging Face Hub CLI\n\nOptions:\n  --help                Show this message and exit.\n\nCommands:\n  auth                 Manage authentication (login, logout, etc.).\n  buckets              Commands to interact with buckets.\n  cache                Manage local cache directory.\n  collections          Interact with collections on the Hub.\n  datasets             Interact with datasets on the Hub.\n  discussions          Manage discussions and pull requests on the Hub.\n  download             Download files from the Hub.\n  endpoints            Manage Hugging Face Inference Endpoints.\n  env                  Print information about the environment.\n  extensions           Manage hf CLI extensions.\n  jobs                 Run and manage Jobs on the Hub.\n  models               Interact with models on the Hub.\n  papers               Interact with papers on the Hub.\n  repos                Manage repos on the Hub.\n  skills               Manage skills for AI assistants.\n  spaces               Interact with spaces on the Hub.\n  sync                 Sync files between local directory and a bucket.\n  upload               Upload a file or a folder to the Hub.\n  upload-large-folder  Upload a large folder to the Hub.\n  version              Print information about the hf version.\n  webhooks             Manage webhooks on the Hub.\n```\n\nThe `hf` CLI command has replaced the now deprecated `huggingface-cli` command.\n",{"data":36,"body":37},{"name":4,"description":6},{"type":38,"children":39},"root",[40,49,64,71,76,135,140,146,151,156,221,233,269,274,288,293,323,329,340,352,358,371,389,407,412,479,484,535,540,546,558,1478,1497],{"type":41,"tag":42,"props":43,"children":45},"element","h1",{"id":44},"hugging-face-api-tool-builder",[46],{"type":47,"value":48},"text","Hugging Face API Tool Builder",{"type":41,"tag":50,"props":51,"children":52},"p",{},[53,55,62],{"type":47,"value":54},"Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the ",{"type":41,"tag":56,"props":57,"children":59},"code",{"className":58},[],[60],{"type":47,"value":61},"hf",{"type":47,"value":63}," command line tool. Model and Dataset cards can be accessed from repositories directly.",{"type":41,"tag":65,"props":66,"children":68},"h2",{"id":67},"script-rules",[69],{"type":47,"value":70},"Script Rules",{"type":41,"tag":50,"props":72,"children":73},{},[74],{"type":47,"value":75},"Make sure to follow these rules:",{"type":41,"tag":77,"props":78,"children":79},"ul",{},[80,94,99,104,125,130],{"type":41,"tag":81,"props":82,"children":83},"li",{},[84,86,92],{"type":47,"value":85},"Scripts must take a ",{"type":41,"tag":56,"props":87,"children":89},{"className":88},[],[90],{"type":47,"value":91},"--help",{"type":47,"value":93}," command line argument to describe their inputs and outputs",{"type":41,"tag":81,"props":95,"children":96},{},[97],{"type":47,"value":98},"Non-destructive scripts should be tested before handing over to the User",{"type":41,"tag":81,"props":100,"children":101},{},[102],{"type":47,"value":103},"Shell scripts are preferred, but use Python or TSX if complexity or user need requires it.",{"type":41,"tag":81,"props":105,"children":106},{},[107,109,115,117,123],{"type":47,"value":108},"IMPORTANT: Use the ",{"type":41,"tag":56,"props":110,"children":112},{"className":111},[],[113],{"type":47,"value":114},"HF_TOKEN",{"type":47,"value":116}," environment variable as an Authorization header. For example: ",{"type":41,"tag":56,"props":118,"children":120},{"className":119},[],[121],{"type":47,"value":122},"curl -H \"Authorization: Bearer ${HF_TOKEN}\" https:\u002F\u002Fhuggingface.co\u002Fapi\u002F",{"type":47,"value":124},". This provides higher rate limits and appropriate authorization for data access.",{"type":41,"tag":81,"props":126,"children":127},{},[128],{"type":47,"value":129},"Investigate the shape of the API results before commiting to a final design; make use of piping and chaining where composability would be an advantage - prefer simple solutions where possible.",{"type":41,"tag":81,"props":131,"children":132},{},[133],{"type":47,"value":134},"Share usage examples once complete.",{"type":41,"tag":50,"props":136,"children":137},{},[138],{"type":47,"value":139},"Be sure to confirm User preferences where there are questions or clarifications needed.",{"type":41,"tag":65,"props":141,"children":143},{"id":142},"sample-scripts",[144],{"type":47,"value":145},"Sample Scripts",{"type":41,"tag":50,"props":147,"children":148},{},[149],{"type":47,"value":150},"Paths below are relative to this skill directory.",{"type":41,"tag":50,"props":152,"children":153},{},[154],{"type":47,"value":155},"Reference examples:",{"type":41,"tag":77,"props":157,"children":158},{},[159,177,203],{"type":41,"tag":81,"props":160,"children":161},{},[162,168,170,175],{"type":41,"tag":56,"props":163,"children":165},{"className":164},[],[166],{"type":47,"value":167},"references\u002Fhf_model_papers_auth.sh",{"type":47,"value":169}," — uses ",{"type":41,"tag":56,"props":171,"children":173},{"className":172},[],[174],{"type":47,"value":114},{"type":47,"value":176}," automatically and chains trending → model metadata → model card parsing with fallbacks; it demonstrates multi-step API usage plus auth hygiene for gated\u002Fprivate content.",{"type":41,"tag":81,"props":178,"children":179},{},[180,186,188,193,195,201],{"type":41,"tag":56,"props":181,"children":183},{"className":182},[],[184],{"type":47,"value":185},"references\u002Ffind_models_by_paper.sh",{"type":47,"value":187}," — optional ",{"type":41,"tag":56,"props":189,"children":191},{"className":190},[],[192],{"type":47,"value":114},{"type":47,"value":194}," usage via ",{"type":41,"tag":56,"props":196,"children":198},{"className":197},[],[199],{"type":47,"value":200},"--token",{"type":47,"value":202},", consistent authenticated search, and a retry path when arXiv-prefixed searches are too narrow; it shows resilient query strategy and clear user-facing help.",{"type":41,"tag":81,"props":204,"children":205},{},[206,212,214,219],{"type":41,"tag":56,"props":207,"children":209},{"className":208},[],[210],{"type":47,"value":211},"references\u002Fhf_model_card_frontmatter.sh",{"type":47,"value":213}," — uses the ",{"type":41,"tag":56,"props":215,"children":217},{"className":216},[],[218],{"type":47,"value":61},{"type":47,"value":220}," CLI to download model cards, extracts YAML frontmatter, and emits NDJSON summaries (license, pipeline tag, tags, gated prompt flag) for easy filtering.",{"type":41,"tag":50,"props":222,"children":223},{},[224,226,231],{"type":47,"value":225},"Baseline examples (ultra-simple, minimal logic, raw JSON output with ",{"type":41,"tag":56,"props":227,"children":229},{"className":228},[],[230],{"type":47,"value":114},{"type":47,"value":232}," header):",{"type":41,"tag":77,"props":234,"children":235},{},[236,247,258],{"type":41,"tag":81,"props":237,"children":238},{},[239,245],{"type":41,"tag":56,"props":240,"children":242},{"className":241},[],[243],{"type":47,"value":244},"references\u002Fbaseline_hf_api.sh",{"type":47,"value":246}," — bash",{"type":41,"tag":81,"props":248,"children":249},{},[250,256],{"type":41,"tag":56,"props":251,"children":253},{"className":252},[],[254],{"type":47,"value":255},"references\u002Fbaseline_hf_api.py",{"type":47,"value":257}," — python",{"type":41,"tag":81,"props":259,"children":260},{},[261,267],{"type":41,"tag":56,"props":262,"children":264},{"className":263},[],[265],{"type":47,"value":266},"references\u002Fbaseline_hf_api.tsx",{"type":47,"value":268}," — typescript executable",{"type":41,"tag":50,"props":270,"children":271},{},[272],{"type":47,"value":273},"Composable utility (stdin → NDJSON):",{"type":41,"tag":77,"props":275,"children":276},{},[277],{"type":41,"tag":81,"props":278,"children":279},{},[280,286],{"type":41,"tag":56,"props":281,"children":283},{"className":282},[],[284],{"type":47,"value":285},"references\u002Fhf_enrich_models.sh",{"type":47,"value":287}," — reads model IDs from stdin, fetches metadata per ID, emits one JSON object per line for streaming pipelines.",{"type":41,"tag":50,"props":289,"children":290},{},[291],{"type":47,"value":292},"Composability through piping (shell-friendly JSON output):",{"type":41,"tag":77,"props":294,"children":295},{},[296,305,314],{"type":41,"tag":81,"props":297,"children":298},{},[299],{"type":41,"tag":56,"props":300,"children":302},{"className":301},[],[303],{"type":47,"value":304},"references\u002Fbaseline_hf_api.sh 25 | jq -r '.[].id' | references\u002Fhf_enrich_models.sh | jq -s 'sort_by(.downloads) | reverse | .[:10]'",{"type":41,"tag":81,"props":306,"children":307},{},[308],{"type":41,"tag":56,"props":309,"children":311},{"className":310},[],[312],{"type":47,"value":313},"references\u002Fbaseline_hf_api.sh 50 | jq '[.[] | {id, downloads}] | sort_by(.downloads) | reverse | .[:10]'",{"type":41,"tag":81,"props":315,"children":316},{},[317],{"type":41,"tag":56,"props":318,"children":320},{"className":319},[],[321],{"type":47,"value":322},"printf '%s\\n' openai\u002Fgpt-oss-120b meta-llama\u002FMeta-Llama-3.1-8B | references\u002Fhf_model_card_frontmatter.sh | jq -s 'map({id, license, has_extra_gated_prompt})'",{"type":41,"tag":65,"props":324,"children":326},{"id":325},"high-level-endpoints",[327],{"type":47,"value":328},"High Level Endpoints",{"type":41,"tag":50,"props":330,"children":331},{},[332,334],{"type":47,"value":333},"The following are the main API endpoints available at ",{"type":41,"tag":56,"props":335,"children":337},{"className":336},[],[338],{"type":47,"value":339},"https:\u002F\u002Fhuggingface.co",{"type":41,"tag":341,"props":342,"children":346},"pre",{"className":343,"code":345,"language":47},[344],"language-text","\u002Fapi\u002Fdatasets\n\u002Fapi\u002Fmodels\n\u002Fapi\u002Fspaces\n\u002Fapi\u002Fcollections\n\u002Fapi\u002Fdaily_papers\n\u002Fapi\u002Fnotifications\n\u002Fapi\u002Fsettings\n\u002Fapi\u002Fwhoami-v2\n\u002Fapi\u002Ftrending\n\u002Foauth\u002Fuserinfo\n",[347],{"type":41,"tag":56,"props":348,"children":350},{"__ignoreMap":349},"",[351],{"type":47,"value":345},{"type":41,"tag":65,"props":353,"children":355},{"id":354},"accessing-the-api",[356],{"type":47,"value":357},"Accessing the API",{"type":41,"tag":50,"props":359,"children":360},{},[361,363,369],{"type":47,"value":362},"The API is documented with the OpenAPI standard at ",{"type":41,"tag":56,"props":364,"children":366},{"className":365},[],[367],{"type":47,"value":368},"https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json",{"type":47,"value":370},".",{"type":41,"tag":50,"props":372,"children":373},{},[374,380,382,387],{"type":41,"tag":375,"props":376,"children":377},"strong",{},[378],{"type":47,"value":379},"IMPORTANT:",{"type":47,"value":381}," DO NOT ATTEMPT to read ",{"type":41,"tag":56,"props":383,"children":385},{"className":384},[],[386],{"type":47,"value":368},{"type":47,"value":388}," directly as it is too large to process.",{"type":41,"tag":50,"props":390,"children":391},{},[392,397,399,405],{"type":41,"tag":375,"props":393,"children":394},{},[395],{"type":47,"value":396},"IMPORTANT",{"type":47,"value":398}," Use ",{"type":41,"tag":56,"props":400,"children":402},{"className":401},[],[403],{"type":47,"value":404},"jq",{"type":47,"value":406}," to query and extract relevant parts. For example,",{"type":41,"tag":50,"props":408,"children":409},{},[410],{"type":47,"value":411},"Command to Get All 160 Endpoints",{"type":41,"tag":341,"props":413,"children":417},{"className":414,"code":415,"language":416,"meta":349,"style":349},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","curl -s \"https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json\" | jq '.paths | keys | sort'\n","bash",[418],{"type":41,"tag":56,"props":419,"children":420},{"__ignoreMap":349},[421],{"type":41,"tag":422,"props":423,"children":426},"span",{"class":424,"line":425},"line",1,[427,433,439,445,449,454,459,464,469,474],{"type":41,"tag":422,"props":428,"children":430},{"style":429},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[431],{"type":47,"value":432},"curl",{"type":41,"tag":422,"props":434,"children":436},{"style":435},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[437],{"type":47,"value":438}," -s",{"type":41,"tag":422,"props":440,"children":442},{"style":441},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[443],{"type":47,"value":444}," \"",{"type":41,"tag":422,"props":446,"children":447},{"style":435},[448],{"type":47,"value":368},{"type":41,"tag":422,"props":450,"children":451},{"style":441},[452],{"type":47,"value":453},"\"",{"type":41,"tag":422,"props":455,"children":456},{"style":441},[457],{"type":47,"value":458}," |",{"type":41,"tag":422,"props":460,"children":461},{"style":429},[462],{"type":47,"value":463}," jq",{"type":41,"tag":422,"props":465,"children":466},{"style":441},[467],{"type":47,"value":468}," '",{"type":41,"tag":422,"props":470,"children":471},{"style":435},[472],{"type":47,"value":473},".paths | keys | sort",{"type":41,"tag":422,"props":475,"children":476},{"style":441},[477],{"type":47,"value":478},"'\n",{"type":41,"tag":50,"props":480,"children":481},{},[482],{"type":47,"value":483},"Model Search Endpoint Details",{"type":41,"tag":341,"props":485,"children":487},{"className":414,"code":486,"language":416,"meta":349,"style":349},"curl -s \"https:\u002F\u002Fhuggingface.co\u002F.well-known\u002Fopenapi.json\" | jq '.paths[\"\u002Fapi\u002Fmodels\"]'\n",[488],{"type":41,"tag":56,"props":489,"children":490},{"__ignoreMap":349},[491],{"type":41,"tag":422,"props":492,"children":493},{"class":424,"line":425},[494,498,502,506,510,514,518,522,526,531],{"type":41,"tag":422,"props":495,"children":496},{"style":429},[497],{"type":47,"value":432},{"type":41,"tag":422,"props":499,"children":500},{"style":435},[501],{"type":47,"value":438},{"type":41,"tag":422,"props":503,"children":504},{"style":441},[505],{"type":47,"value":444},{"type":41,"tag":422,"props":507,"children":508},{"style":435},[509],{"type":47,"value":368},{"type":41,"tag":422,"props":511,"children":512},{"style":441},[513],{"type":47,"value":453},{"type":41,"tag":422,"props":515,"children":516},{"style":441},[517],{"type":47,"value":458},{"type":41,"tag":422,"props":519,"children":520},{"style":429},[521],{"type":47,"value":463},{"type":41,"tag":422,"props":523,"children":524},{"style":441},[525],{"type":47,"value":468},{"type":41,"tag":422,"props":527,"children":528},{"style":435},[529],{"type":47,"value":530},".paths[\"\u002Fapi\u002Fmodels\"]",{"type":41,"tag":422,"props":532,"children":533},{"style":441},[534],{"type":47,"value":478},{"type":41,"tag":50,"props":536,"children":537},{},[538],{"type":47,"value":539},"You can also query endpoints to see the shape of the data. When doing so constrain results to low numbers to make them easy to process, yet representative.",{"type":41,"tag":65,"props":541,"children":543},{"id":542},"using-the-hf-command-line-tool",[544],{"type":47,"value":545},"Using the HF command line tool",{"type":41,"tag":50,"props":547,"children":548},{},[549,551,556],{"type":47,"value":550},"The ",{"type":41,"tag":56,"props":552,"children":554},{"className":553},[],[555],{"type":47,"value":61},{"type":47,"value":557}," command line tool gives you further access to Hugging Face repository content and infrastructure.",{"type":41,"tag":341,"props":559,"children":561},{"className":414,"code":560,"language":416,"meta":349,"style":349},"❯ hf --help\nUsage: hf [OPTIONS] COMMAND [ARGS]...\n\n  Hugging Face Hub CLI\n\nOptions:\n  --help                Show this message and exit.\n\nCommands:\n  auth                 Manage authentication (login, logout, etc.).\n  buckets              Commands to interact with buckets.\n  cache                Manage local cache directory.\n  collections          Interact with collections on the Hub.\n  datasets             Interact with datasets on the Hub.\n  discussions          Manage discussions and pull requests on the Hub.\n  download             Download files from the Hub.\n  endpoints            Manage Hugging Face Inference Endpoints.\n  env                  Print information about the environment.\n  extensions           Manage hf CLI extensions.\n  jobs                 Run and manage Jobs on the Hub.\n  models               Interact with models on the Hub.\n  papers               Interact with papers on the Hub.\n  repos                Manage repos on the Hub.\n  skills               Manage skills for AI assistants.\n  spaces               Interact with spaces on the Hub.\n  sync                 Sync files between local directory and a bucket.\n  upload               Upload a file or a folder to the Hub.\n  upload-large-folder  Upload a large folder to the Hub.\n  version              Print information about the hf version.\n  webhooks             Manage webhooks on the Hub.\n",[562],{"type":41,"tag":56,"props":563,"children":564},{"__ignoreMap":349},[565,583,622,632,656,664,673,707,715,724,763,797,826,864,899,944,976,1009,1042,1070,1111,1146,1180,1210,1244,1278,1324,1373,1412,1447],{"type":41,"tag":422,"props":566,"children":567},{"class":424,"line":425},[568,573,578],{"type":41,"tag":422,"props":569,"children":570},{"style":429},[571],{"type":47,"value":572},"❯",{"type":41,"tag":422,"props":574,"children":575},{"style":435},[576],{"type":47,"value":577}," hf",{"type":41,"tag":422,"props":579,"children":580},{"style":435},[581],{"type":47,"value":582}," --help\n",{"type":41,"tag":422,"props":584,"children":586},{"class":424,"line":585},2,[587,592,596,602,607,612,617],{"type":41,"tag":422,"props":588,"children":589},{"style":429},[590],{"type":47,"value":591},"Usage:",{"type":41,"tag":422,"props":593,"children":594},{"style":435},[595],{"type":47,"value":577},{"type":41,"tag":422,"props":597,"children":599},{"style":598},"--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8",[600],{"type":47,"value":601}," [OPTIONS] COMMAND ",{"type":41,"tag":422,"props":603,"children":604},{"style":441},[605],{"type":47,"value":606},"[",{"type":41,"tag":422,"props":608,"children":609},{"style":598},[610],{"type":47,"value":611},"ARGS",{"type":41,"tag":422,"props":613,"children":614},{"style":441},[615],{"type":47,"value":616},"]",{"type":41,"tag":422,"props":618,"children":619},{"style":598},[620],{"type":47,"value":621},"...\n",{"type":41,"tag":422,"props":623,"children":625},{"class":424,"line":624},3,[626],{"type":41,"tag":422,"props":627,"children":629},{"emptyLinePlaceholder":628},true,[630],{"type":47,"value":631},"\n",{"type":41,"tag":422,"props":633,"children":635},{"class":424,"line":634},4,[636,641,646,651],{"type":41,"tag":422,"props":637,"children":638},{"style":429},[639],{"type":47,"value":640},"  Hugging",{"type":41,"tag":422,"props":642,"children":643},{"style":435},[644],{"type":47,"value":645}," Face",{"type":41,"tag":422,"props":647,"children":648},{"style":435},[649],{"type":47,"value":650}," Hub",{"type":41,"tag":422,"props":652,"children":653},{"style":435},[654],{"type":47,"value":655}," CLI\n",{"type":41,"tag":422,"props":657,"children":659},{"class":424,"line":658},5,[660],{"type":41,"tag":422,"props":661,"children":662},{"emptyLinePlaceholder":628},[663],{"type":47,"value":631},{"type":41,"tag":422,"props":665,"children":667},{"class":424,"line":666},6,[668],{"type":41,"tag":422,"props":669,"children":670},{"style":429},[671],{"type":47,"value":672},"Options:\n",{"type":41,"tag":422,"props":674,"children":676},{"class":424,"line":675},7,[677,682,687,692,697,702],{"type":41,"tag":422,"props":678,"children":679},{"style":429},[680],{"type":47,"value":681},"  --help",{"type":41,"tag":422,"props":683,"children":684},{"style":435},[685],{"type":47,"value":686},"                Show",{"type":41,"tag":422,"props":688,"children":689},{"style":435},[690],{"type":47,"value":691}," this",{"type":41,"tag":422,"props":693,"children":694},{"style":435},[695],{"type":47,"value":696}," message",{"type":41,"tag":422,"props":698,"children":699},{"style":435},[700],{"type":47,"value":701}," and",{"type":41,"tag":422,"props":703,"children":704},{"style":435},[705],{"type":47,"value":706}," exit.\n",{"type":41,"tag":422,"props":708,"children":710},{"class":424,"line":709},8,[711],{"type":41,"tag":422,"props":712,"children":713},{"emptyLinePlaceholder":628},[714],{"type":47,"value":631},{"type":41,"tag":422,"props":716,"children":718},{"class":424,"line":717},9,[719],{"type":41,"tag":422,"props":720,"children":721},{"style":429},[722],{"type":47,"value":723},"Commands:\n",{"type":41,"tag":422,"props":725,"children":727},{"class":424,"line":726},10,[728,733,738,743,748,753,758],{"type":41,"tag":422,"props":729,"children":730},{"style":429},[731],{"type":47,"value":732},"  auth",{"type":41,"tag":422,"props":734,"children":735},{"style":435},[736],{"type":47,"value":737},"                 Manage",{"type":41,"tag":422,"props":739,"children":740},{"style":435},[741],{"type":47,"value":742}," authentication",{"type":41,"tag":422,"props":744,"children":745},{"style":598},[746],{"type":47,"value":747}," (login, ",{"type":41,"tag":422,"props":749,"children":750},{"style":435},[751],{"type":47,"value":752},"logout,",{"type":41,"tag":422,"props":754,"children":755},{"style":435},[756],{"type":47,"value":757}," etc.",{"type":41,"tag":422,"props":759,"children":760},{"style":598},[761],{"type":47,"value":762},").\n",{"type":41,"tag":422,"props":764,"children":766},{"class":424,"line":765},11,[767,772,777,782,787,792],{"type":41,"tag":422,"props":768,"children":769},{"style":429},[770],{"type":47,"value":771},"  buckets",{"type":41,"tag":422,"props":773,"children":774},{"style":435},[775],{"type":47,"value":776},"              Commands",{"type":41,"tag":422,"props":778,"children":779},{"style":435},[780],{"type":47,"value":781}," to",{"type":41,"tag":422,"props":783,"children":784},{"style":435},[785],{"type":47,"value":786}," interact",{"type":41,"tag":422,"props":788,"children":789},{"style":435},[790],{"type":47,"value":791}," with",{"type":41,"tag":422,"props":793,"children":794},{"style":435},[795],{"type":47,"value":796}," buckets.\n",{"type":41,"tag":422,"props":798,"children":800},{"class":424,"line":799},12,[801,806,811,816,821],{"type":41,"tag":422,"props":802,"children":803},{"style":429},[804],{"type":47,"value":805},"  cache",{"type":41,"tag":422,"props":807,"children":808},{"style":435},[809],{"type":47,"value":810},"                Manage",{"type":41,"tag":422,"props":812,"children":813},{"style":435},[814],{"type":47,"value":815}," local",{"type":41,"tag":422,"props":817,"children":818},{"style":435},[819],{"type":47,"value":820}," cache",{"type":41,"tag":422,"props":822,"children":823},{"style":435},[824],{"type":47,"value":825}," directory.\n",{"type":41,"tag":422,"props":827,"children":829},{"class":424,"line":828},13,[830,835,840,844,849,854,859],{"type":41,"tag":422,"props":831,"children":832},{"style":429},[833],{"type":47,"value":834},"  collections",{"type":41,"tag":422,"props":836,"children":837},{"style":435},[838],{"type":47,"value":839},"          Interact",{"type":41,"tag":422,"props":841,"children":842},{"style":435},[843],{"type":47,"value":791},{"type":41,"tag":422,"props":845,"children":846},{"style":435},[847],{"type":47,"value":848}," collections",{"type":41,"tag":422,"props":850,"children":851},{"style":435},[852],{"type":47,"value":853}," on",{"type":41,"tag":422,"props":855,"children":856},{"style":435},[857],{"type":47,"value":858}," the",{"type":41,"tag":422,"props":860,"children":861},{"style":435},[862],{"type":47,"value":863}," Hub.\n",{"type":41,"tag":422,"props":865,"children":867},{"class":424,"line":866},14,[868,873,878,882,887,891,895],{"type":41,"tag":422,"props":869,"children":870},{"style":429},[871],{"type":47,"value":872},"  datasets",{"type":41,"tag":422,"props":874,"children":875},{"style":435},[876],{"type":47,"value":877},"             Interact",{"type":41,"tag":422,"props":879,"children":880},{"style":435},[881],{"type":47,"value":791},{"type":41,"tag":422,"props":883,"children":884},{"style":435},[885],{"type":47,"value":886}," datasets",{"type":41,"tag":422,"props":888,"children":889},{"style":435},[890],{"type":47,"value":853},{"type":41,"tag":422,"props":892,"children":893},{"style":435},[894],{"type":47,"value":858},{"type":41,"tag":422,"props":896,"children":897},{"style":435},[898],{"type":47,"value":863},{"type":41,"tag":422,"props":900,"children":902},{"class":424,"line":901},15,[903,908,913,918,922,927,932,936,940],{"type":41,"tag":422,"props":904,"children":905},{"style":429},[906],{"type":47,"value":907},"  discussions",{"type":41,"tag":422,"props":909,"children":910},{"style":435},[911],{"type":47,"value":912},"          Manage",{"type":41,"tag":422,"props":914,"children":915},{"style":435},[916],{"type":47,"value":917}," discussions",{"type":41,"tag":422,"props":919,"children":920},{"style":435},[921],{"type":47,"value":701},{"type":41,"tag":422,"props":923,"children":924},{"style":435},[925],{"type":47,"value":926}," pull",{"type":41,"tag":422,"props":928,"children":929},{"style":435},[930],{"type":47,"value":931}," requests",{"type":41,"tag":422,"props":933,"children":934},{"style":435},[935],{"type":47,"value":853},{"type":41,"tag":422,"props":937,"children":938},{"style":435},[939],{"type":47,"value":858},{"type":41,"tag":422,"props":941,"children":942},{"style":435},[943],{"type":47,"value":863},{"type":41,"tag":422,"props":945,"children":947},{"class":424,"line":946},16,[948,953,958,963,968,972],{"type":41,"tag":422,"props":949,"children":950},{"style":429},[951],{"type":47,"value":952},"  download",{"type":41,"tag":422,"props":954,"children":955},{"style":435},[956],{"type":47,"value":957},"             Download",{"type":41,"tag":422,"props":959,"children":960},{"style":435},[961],{"type":47,"value":962}," files",{"type":41,"tag":422,"props":964,"children":965},{"style":435},[966],{"type":47,"value":967}," from",{"type":41,"tag":422,"props":969,"children":970},{"style":435},[971],{"type":47,"value":858},{"type":41,"tag":422,"props":973,"children":974},{"style":435},[975],{"type":47,"value":863},{"type":41,"tag":422,"props":977,"children":979},{"class":424,"line":978},17,[980,985,990,995,999,1004],{"type":41,"tag":422,"props":981,"children":982},{"style":429},[983],{"type":47,"value":984},"  endpoints",{"type":41,"tag":422,"props":986,"children":987},{"style":435},[988],{"type":47,"value":989},"            Manage",{"type":41,"tag":422,"props":991,"children":992},{"style":435},[993],{"type":47,"value":994}," Hugging",{"type":41,"tag":422,"props":996,"children":997},{"style":435},[998],{"type":47,"value":645},{"type":41,"tag":422,"props":1000,"children":1001},{"style":435},[1002],{"type":47,"value":1003}," Inference",{"type":41,"tag":422,"props":1005,"children":1006},{"style":435},[1007],{"type":47,"value":1008}," Endpoints.\n",{"type":41,"tag":422,"props":1010,"children":1012},{"class":424,"line":1011},18,[1013,1018,1023,1028,1033,1037],{"type":41,"tag":422,"props":1014,"children":1015},{"style":429},[1016],{"type":47,"value":1017},"  env",{"type":41,"tag":422,"props":1019,"children":1020},{"style":435},[1021],{"type":47,"value":1022},"                  Print",{"type":41,"tag":422,"props":1024,"children":1025},{"style":435},[1026],{"type":47,"value":1027}," information",{"type":41,"tag":422,"props":1029,"children":1030},{"style":435},[1031],{"type":47,"value":1032}," about",{"type":41,"tag":422,"props":1034,"children":1035},{"style":435},[1036],{"type":47,"value":858},{"type":41,"tag":422,"props":1038,"children":1039},{"style":435},[1040],{"type":47,"value":1041}," environment.\n",{"type":41,"tag":422,"props":1043,"children":1045},{"class":424,"line":1044},19,[1046,1051,1056,1060,1065],{"type":41,"tag":422,"props":1047,"children":1048},{"style":429},[1049],{"type":47,"value":1050},"  extensions",{"type":41,"tag":422,"props":1052,"children":1053},{"style":435},[1054],{"type":47,"value":1055},"           Manage",{"type":41,"tag":422,"props":1057,"children":1058},{"style":435},[1059],{"type":47,"value":577},{"type":41,"tag":422,"props":1061,"children":1062},{"style":435},[1063],{"type":47,"value":1064}," CLI",{"type":41,"tag":422,"props":1066,"children":1067},{"style":435},[1068],{"type":47,"value":1069}," extensions.\n",{"type":41,"tag":422,"props":1071,"children":1073},{"class":424,"line":1072},20,[1074,1080,1085,1089,1094,1099,1103,1107],{"type":41,"tag":422,"props":1075,"children":1077},{"style":1076},"--shiki-light:#6182B8;--shiki-default:#82AAFF;--shiki-dark:#82AAFF",[1078],{"type":47,"value":1079},"  jobs",{"type":41,"tag":422,"props":1081,"children":1082},{"style":435},[1083],{"type":47,"value":1084},"                 Run",{"type":41,"tag":422,"props":1086,"children":1087},{"style":435},[1088],{"type":47,"value":701},{"type":41,"tag":422,"props":1090,"children":1091},{"style":435},[1092],{"type":47,"value":1093}," manage",{"type":41,"tag":422,"props":1095,"children":1096},{"style":435},[1097],{"type":47,"value":1098}," Jobs",{"type":41,"tag":422,"props":1100,"children":1101},{"style":435},[1102],{"type":47,"value":853},{"type":41,"tag":422,"props":1104,"children":1105},{"style":435},[1106],{"type":47,"value":858},{"type":41,"tag":422,"props":1108,"children":1109},{"style":435},[1110],{"type":47,"value":863},{"type":41,"tag":422,"props":1112,"children":1114},{"class":424,"line":1113},21,[1115,1120,1125,1129,1134,1138,1142],{"type":41,"tag":422,"props":1116,"children":1117},{"style":429},[1118],{"type":47,"value":1119},"  models",{"type":41,"tag":422,"props":1121,"children":1122},{"style":435},[1123],{"type":47,"value":1124},"               Interact",{"type":41,"tag":422,"props":1126,"children":1127},{"style":435},[1128],{"type":47,"value":791},{"type":41,"tag":422,"props":1130,"children":1131},{"style":435},[1132],{"type":47,"value":1133}," models",{"type":41,"tag":422,"props":1135,"children":1136},{"style":435},[1137],{"type":47,"value":853},{"type":41,"tag":422,"props":1139,"children":1140},{"style":435},[1141],{"type":47,"value":858},{"type":41,"tag":422,"props":1143,"children":1144},{"style":435},[1145],{"type":47,"value":863},{"type":41,"tag":422,"props":1147,"children":1149},{"class":424,"line":1148},22,[1150,1155,1159,1163,1168,1172,1176],{"type":41,"tag":422,"props":1151,"children":1152},{"style":429},[1153],{"type":47,"value":1154},"  papers",{"type":41,"tag":422,"props":1156,"children":1157},{"style":435},[1158],{"type":47,"value":1124},{"type":41,"tag":422,"props":1160,"children":1161},{"style":435},[1162],{"type":47,"value":791},{"type":41,"tag":422,"props":1164,"children":1165},{"style":435},[1166],{"type":47,"value":1167}," papers",{"type":41,"tag":422,"props":1169,"children":1170},{"style":435},[1171],{"type":47,"value":853},{"type":41,"tag":422,"props":1173,"children":1174},{"style":435},[1175],{"type":47,"value":858},{"type":41,"tag":422,"props":1177,"children":1178},{"style":435},[1179],{"type":47,"value":863},{"type":41,"tag":422,"props":1181,"children":1183},{"class":424,"line":1182},23,[1184,1189,1193,1198,1202,1206],{"type":41,"tag":422,"props":1185,"children":1186},{"style":429},[1187],{"type":47,"value":1188},"  repos",{"type":41,"tag":422,"props":1190,"children":1191},{"style":435},[1192],{"type":47,"value":810},{"type":41,"tag":422,"props":1194,"children":1195},{"style":435},[1196],{"type":47,"value":1197}," repos",{"type":41,"tag":422,"props":1199,"children":1200},{"style":435},[1201],{"type":47,"value":853},{"type":41,"tag":422,"props":1203,"children":1204},{"style":435},[1205],{"type":47,"value":858},{"type":41,"tag":422,"props":1207,"children":1208},{"style":435},[1209],{"type":47,"value":863},{"type":41,"tag":422,"props":1211,"children":1213},{"class":424,"line":1212},24,[1214,1219,1224,1229,1234,1239],{"type":41,"tag":422,"props":1215,"children":1216},{"style":429},[1217],{"type":47,"value":1218},"  skills",{"type":41,"tag":422,"props":1220,"children":1221},{"style":435},[1222],{"type":47,"value":1223},"               Manage",{"type":41,"tag":422,"props":1225,"children":1226},{"style":435},[1227],{"type":47,"value":1228}," skills",{"type":41,"tag":422,"props":1230,"children":1231},{"style":435},[1232],{"type":47,"value":1233}," for",{"type":41,"tag":422,"props":1235,"children":1236},{"style":435},[1237],{"type":47,"value":1238}," AI",{"type":41,"tag":422,"props":1240,"children":1241},{"style":435},[1242],{"type":47,"value":1243}," assistants.\n",{"type":41,"tag":422,"props":1245,"children":1247},{"class":424,"line":1246},25,[1248,1253,1257,1261,1266,1270,1274],{"type":41,"tag":422,"props":1249,"children":1250},{"style":429},[1251],{"type":47,"value":1252},"  spaces",{"type":41,"tag":422,"props":1254,"children":1255},{"style":435},[1256],{"type":47,"value":1124},{"type":41,"tag":422,"props":1258,"children":1259},{"style":435},[1260],{"type":47,"value":791},{"type":41,"tag":422,"props":1262,"children":1263},{"style":435},[1264],{"type":47,"value":1265}," spaces",{"type":41,"tag":422,"props":1267,"children":1268},{"style":435},[1269],{"type":47,"value":853},{"type":41,"tag":422,"props":1271,"children":1272},{"style":435},[1273],{"type":47,"value":858},{"type":41,"tag":422,"props":1275,"children":1276},{"style":435},[1277],{"type":47,"value":863},{"type":41,"tag":422,"props":1279,"children":1281},{"class":424,"line":1280},26,[1282,1287,1292,1296,1301,1305,1310,1314,1319],{"type":41,"tag":422,"props":1283,"children":1284},{"style":429},[1285],{"type":47,"value":1286},"  sync",{"type":41,"tag":422,"props":1288,"children":1289},{"style":435},[1290],{"type":47,"value":1291},"                 Sync",{"type":41,"tag":422,"props":1293,"children":1294},{"style":435},[1295],{"type":47,"value":962},{"type":41,"tag":422,"props":1297,"children":1298},{"style":435},[1299],{"type":47,"value":1300}," between",{"type":41,"tag":422,"props":1302,"children":1303},{"style":435},[1304],{"type":47,"value":815},{"type":41,"tag":422,"props":1306,"children":1307},{"style":435},[1308],{"type":47,"value":1309}," directory",{"type":41,"tag":422,"props":1311,"children":1312},{"style":435},[1313],{"type":47,"value":701},{"type":41,"tag":422,"props":1315,"children":1316},{"style":435},[1317],{"type":47,"value":1318}," a",{"type":41,"tag":422,"props":1320,"children":1321},{"style":435},[1322],{"type":47,"value":1323}," bucket.\n",{"type":41,"tag":422,"props":1325,"children":1327},{"class":424,"line":1326},27,[1328,1333,1338,1342,1347,1352,1356,1361,1365,1369],{"type":41,"tag":422,"props":1329,"children":1330},{"style":429},[1331],{"type":47,"value":1332},"  upload",{"type":41,"tag":422,"props":1334,"children":1335},{"style":435},[1336],{"type":47,"value":1337},"               Upload",{"type":41,"tag":422,"props":1339,"children":1340},{"style":435},[1341],{"type":47,"value":1318},{"type":41,"tag":422,"props":1343,"children":1344},{"style":435},[1345],{"type":47,"value":1346}," file",{"type":41,"tag":422,"props":1348,"children":1349},{"style":435},[1350],{"type":47,"value":1351}," or",{"type":41,"tag":422,"props":1353,"children":1354},{"style":435},[1355],{"type":47,"value":1318},{"type":41,"tag":422,"props":1357,"children":1358},{"style":435},[1359],{"type":47,"value":1360}," folder",{"type":41,"tag":422,"props":1362,"children":1363},{"style":435},[1364],{"type":47,"value":781},{"type":41,"tag":422,"props":1366,"children":1367},{"style":435},[1368],{"type":47,"value":858},{"type":41,"tag":422,"props":1370,"children":1371},{"style":435},[1372],{"type":47,"value":863},{"type":41,"tag":422,"props":1374,"children":1376},{"class":424,"line":1375},28,[1377,1382,1387,1391,1396,1400,1404,1408],{"type":41,"tag":422,"props":1378,"children":1379},{"style":429},[1380],{"type":47,"value":1381},"  upload-large-folder",{"type":41,"tag":422,"props":1383,"children":1384},{"style":435},[1385],{"type":47,"value":1386},"  Upload",{"type":41,"tag":422,"props":1388,"children":1389},{"style":435},[1390],{"type":47,"value":1318},{"type":41,"tag":422,"props":1392,"children":1393},{"style":435},[1394],{"type":47,"value":1395}," large",{"type":41,"tag":422,"props":1397,"children":1398},{"style":435},[1399],{"type":47,"value":1360},{"type":41,"tag":422,"props":1401,"children":1402},{"style":435},[1403],{"type":47,"value":781},{"type":41,"tag":422,"props":1405,"children":1406},{"style":435},[1407],{"type":47,"value":858},{"type":41,"tag":422,"props":1409,"children":1410},{"style":435},[1411],{"type":47,"value":863},{"type":41,"tag":422,"props":1413,"children":1415},{"class":424,"line":1414},29,[1416,1421,1426,1430,1434,1438,1442],{"type":41,"tag":422,"props":1417,"children":1418},{"style":429},[1419],{"type":47,"value":1420},"  version",{"type":41,"tag":422,"props":1422,"children":1423},{"style":435},[1424],{"type":47,"value":1425},"              Print",{"type":41,"tag":422,"props":1427,"children":1428},{"style":435},[1429],{"type":47,"value":1027},{"type":41,"tag":422,"props":1431,"children":1432},{"style":435},[1433],{"type":47,"value":1032},{"type":41,"tag":422,"props":1435,"children":1436},{"style":435},[1437],{"type":47,"value":858},{"type":41,"tag":422,"props":1439,"children":1440},{"style":435},[1441],{"type":47,"value":577},{"type":41,"tag":422,"props":1443,"children":1444},{"style":435},[1445],{"type":47,"value":1446}," version.\n",{"type":41,"tag":422,"props":1448,"children":1450},{"class":424,"line":1449},30,[1451,1456,1461,1466,1470,1474],{"type":41,"tag":422,"props":1452,"children":1453},{"style":429},[1454],{"type":47,"value":1455},"  webhooks",{"type":41,"tag":422,"props":1457,"children":1458},{"style":435},[1459],{"type":47,"value":1460},"             Manage",{"type":41,"tag":422,"props":1462,"children":1463},{"style":435},[1464],{"type":47,"value":1465}," webhooks",{"type":41,"tag":422,"props":1467,"children":1468},{"style":435},[1469],{"type":47,"value":853},{"type":41,"tag":422,"props":1471,"children":1472},{"style":435},[1473],{"type":47,"value":858},{"type":41,"tag":422,"props":1475,"children":1476},{"style":435},[1477],{"type":47,"value":863},{"type":41,"tag":50,"props":1479,"children":1480},{},[1481,1482,1487,1489,1495],{"type":47,"value":550},{"type":41,"tag":56,"props":1483,"children":1485},{"className":1484},[],[1486],{"type":47,"value":61},{"type":47,"value":1488}," CLI command has replaced the now deprecated ",{"type":41,"tag":56,"props":1490,"children":1492},{"className":1491},[],[1493],{"type":47,"value":1494},"huggingface-cli",{"type":47,"value":1496}," command.",{"type":41,"tag":1498,"props":1499,"children":1500},"style",{},[1501],{"type":47,"value":1502},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1504,"total":1677},[1505,1525,1541,1556,1570,1583,1596,1611,1625,1635,1648,1662],{"slug":1506,"name":1506,"fn":1507,"description":1508,"org":1509,"tags":1510,"stars":1522,"repoUrl":1523,"updatedAt":1524},"train-sentence-transformers","train sentence-transformers models","Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval \u002F pair classification), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1511,1514,1515,1516,1519],{"name":1512,"slug":1513,"type":14},"Deep Learning","deep-learning",{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},{"name":1517,"slug":1518,"type":14},"Python","python",{"name":1520,"slug":1521,"type":14},"Search","search",18914,"https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fsentence-transformers","2026-05-08T05:09:16.820066",{"slug":1526,"name":1526,"fn":1527,"description":1528,"org":1529,"tags":1530,"stars":1538,"repoUrl":1539,"updatedAt":1540},"trl-training","train and fine-tune LLMs with TRL","Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1531,1534,1535,1536,1537],{"name":1532,"slug":1533,"type":14},"AI Infrastructure","ai-infrastructure",{"name":1512,"slug":1513,"type":14},{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},{"name":1517,"slug":1518,"type":14},18850,"https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftrl","2026-04-06T18:25:32.746828",{"slug":1542,"name":1542,"fn":1543,"description":1544,"org":1545,"tags":1546,"stars":24,"repoUrl":25,"updatedAt":1555},"hf-cli","manage Hugging Face Hub resources via CLI","Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1547,1550,1553,1554],{"name":1548,"slug":1549,"type":14},"CLI","cli",{"name":1551,"slug":1552,"type":14},"Datasets","datasets",{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},"2026-04-06T18:25:34.020855",{"slug":1557,"name":1557,"fn":1558,"description":1559,"org":1560,"tags":1561,"stars":24,"repoUrl":25,"updatedAt":1569},"hf-cloud-aws-context-discovery","discover local AWS environment context","Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like \"use my AWS account\", \"deploy to AWS\", \"use my profile\", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1562,1565,1566],{"name":1563,"slug":1564,"type":14},"AWS","aws",{"name":1548,"slug":1549,"type":14},{"name":1567,"slug":1568,"type":14},"Configuration","configuration","2026-07-08T05:55:33.716099",{"slug":1571,"name":1571,"fn":1572,"description":1573,"org":1574,"tags":1575,"stars":24,"repoUrl":25,"updatedAt":1582},"hf-cloud-python-env-setup","set up Python environments for AWS","Set up an isolated Python environment for SageMaker \u002F AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to \"set up the environment\". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1576,1577,1578,1581],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1579,"slug":1580,"type":14},"Engineering","engineering",{"name":1517,"slug":1518,"type":14},"2026-07-08T05:55:32.505017",{"slug":1584,"name":1584,"fn":1585,"description":1586,"org":1587,"tags":1588,"stars":24,"repoUrl":25,"updatedAt":1595},"hf-cloud-sagemaker-deployment-planner","plan model deployments to Amazon SageMaker","Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like \"deploy a model\", \"host this LLM on AWS\", \"serve this embedding model\", \"deploy a reranker\", \"deploy a text-to-image \u002F diffusion model\", \"host this for async inference\", \"create an endpoint\", \"serve my fine-tuned model\", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. \"I just want to get this running on AWS, you figure it out\"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image \u002F diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1589,1590,1591,1594],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1592,"slug":1593,"type":14},"Deployment","deployment",{"name":9,"slug":13,"type":14},"2026-07-08T05:55:37.387689",{"slug":1597,"name":1597,"fn":1598,"description":1599,"org":1600,"tags":1601,"stars":24,"repoUrl":25,"updatedAt":1610},"hf-cloud-sagemaker-iam-preflight","configure SageMaker IAM roles","Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1602,1603,1604,1607],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1605,"slug":1606,"type":14},"Permissions","permissions",{"name":1608,"slug":1609,"type":14},"Security","security","2026-07-08T05:55:34.948771",{"slug":1612,"name":1612,"fn":1613,"description":1614,"org":1615,"tags":1616,"stars":24,"repoUrl":25,"updatedAt":1624},"hf-cloud-sagemaker-production-defaults","create production-ready SageMaker endpoints","Create a SageMaker endpoint (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints and deploy_async.py for async endpoints (with genuine scale-to-zero support). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1617,1618,1619,1620,1621],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1592,"slug":1593,"type":14},{"name":9,"slug":13,"type":14},{"name":1622,"slug":1623,"type":14},"Monitoring","monitoring","2026-07-08T05:55:38.664702",{"slug":1626,"name":1626,"fn":1627,"description":1628,"org":1629,"tags":1630,"stars":24,"repoUrl":25,"updatedAt":1634},"hf-cloud-serving-image-selection","select SageMaker serving containers","Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says \"deploy this LLM\", \"host this HuggingFace model\", \"serve this fine-tuned model\", \"deploy this embedding model\", \"host a reranker\", \"serve a sentence-transformers model\", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings\u002Fcross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1631,1632,1633],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1592,"slug":1593,"type":14},"2026-07-08T05:55:36.173465",{"slug":1636,"name":1636,"fn":1637,"description":1638,"org":1639,"tags":1640,"stars":24,"repoUrl":25,"updatedAt":1647},"hf-mcp","access Hugging Face Hub via MCP","Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1641,1642,1643,1644],{"name":1551,"slug":1552,"type":14},{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},{"name":1645,"slug":1646,"type":14},"MCP","mcp","2026-04-06T18:25:50.364185",{"slug":1649,"name":1649,"fn":1650,"description":1651,"org":1652,"tags":1653,"stars":24,"repoUrl":25,"updatedAt":1661},"hf-mem","estimate memory for Hugging Face models","Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1654,1655,1656,1657,1658],{"name":1532,"slug":1533,"type":14},{"name":1548,"slug":1549,"type":14},{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},{"name":1659,"slug":1660,"type":14},"Performance","performance","2026-06-13T07:23:57.101435",{"slug":1663,"name":1663,"fn":1664,"description":1665,"org":1666,"tags":1667,"stars":24,"repoUrl":25,"updatedAt":1676},"huggingface-best","find and compare Hugging Face models","Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: \"best model for X\", \"what model should I use for\", \"top models for [task]\", \"which model runs on my laptop\u002Fmachine\u002Fdevice\", \"recommend a model for\", \"what LLM should I use for\", \"compare models for\", \"what's state of the art for\", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1668,1671,1672,1673],{"name":1669,"slug":1670,"type":14},"Analytics","analytics",{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},{"name":1674,"slug":1675,"type":14},"Research","research","2026-04-24T05:09:45.870658",37,{"items":1679,"total":1212},[1680,1687,1693,1700,1707,1714,1722],{"slug":1542,"name":1542,"fn":1543,"description":1544,"org":1681,"tags":1682,"stars":24,"repoUrl":25,"updatedAt":1555},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1683,1684,1685,1686],{"name":1548,"slug":1549,"type":14},{"name":1551,"slug":1552,"type":14},{"name":9,"slug":13,"type":14},{"name":16,"slug":17,"type":14},{"slug":1557,"name":1557,"fn":1558,"description":1559,"org":1688,"tags":1689,"stars":24,"repoUrl":25,"updatedAt":1569},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1690,1691,1692],{"name":1563,"slug":1564,"type":14},{"name":1548,"slug":1549,"type":14},{"name":1567,"slug":1568,"type":14},{"slug":1571,"name":1571,"fn":1572,"description":1573,"org":1694,"tags":1695,"stars":24,"repoUrl":25,"updatedAt":1582},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1696,1697,1698,1699],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1579,"slug":1580,"type":14},{"name":1517,"slug":1518,"type":14},{"slug":1584,"name":1584,"fn":1585,"description":1586,"org":1701,"tags":1702,"stars":24,"repoUrl":25,"updatedAt":1595},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1703,1704,1705,1706],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1592,"slug":1593,"type":14},{"name":9,"slug":13,"type":14},{"slug":1597,"name":1597,"fn":1598,"description":1599,"org":1708,"tags":1709,"stars":24,"repoUrl":25,"updatedAt":1610},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1710,1711,1712,1713],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1605,"slug":1606,"type":14},{"name":1608,"slug":1609,"type":14},{"slug":1612,"name":1612,"fn":1613,"description":1614,"org":1715,"tags":1716,"stars":24,"repoUrl":25,"updatedAt":1624},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1717,1718,1719,1720,1721],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1592,"slug":1593,"type":14},{"name":9,"slug":13,"type":14},{"name":1622,"slug":1623,"type":14},{"slug":1626,"name":1626,"fn":1627,"description":1628,"org":1723,"tags":1724,"stars":24,"repoUrl":25,"updatedAt":1634},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1725,1726,1727],{"name":1532,"slug":1533,"type":14},{"name":1563,"slug":1564,"type":14},{"name":1592,"slug":1593,"type":14}]