hf_fs
When to use: Hugging Face Hub models, datasets, Spaces, collections, papers, daily papers, today's trending models, current paper leaderboard, docs, and repository files.
When to use: Hugging Face Hub models, datasets, Spaces, collections, papers, daily papers, today's trending models, current paper leaderboard, docs, and repository files.
Examples:
{"operations":[{"cmd":"ls","args":["hf://models/trending","--limit","10"]}]}
{"operations":[{"cmd":"ls","args":["hf://papers/trending"]}]}
{"operations":[{"cmd":"ls","args":["hf://papers/daily/latest"]}]}
{"operations":[{"cmd":"cat","args":["hf://papers/2501.00001/paper.md"]}]}
Use hf_fs for Hugging Face Hub filesystem operations. Call it with operations, an array of {cmd, args} items; multiple operations may be submitted together.
Usage:
{"operations":[{"cmd":"ls","args":["hf://models/org/repo"]}]}
Grammar; each string below is one args array item:
ls URI [--recursive] [--glob GLOB] [--type TYPE] [--sort SORT] [--limit N]
cat URI [--offset N] [--max-bytes N]
attach URI [--max-bytes N]
stat URI
find URI [--name GLOB] [--path GLOB] [--type TYPE] [--limit N]
search URI [QUERY] [--type TYPE] [--sort SORT] [--tag TAG] [--kind mcp] [--limit N]
COMMAND = ls|cat|attach|stat|find|search.
TYPE = file|dir|repo|bucket|collection|paper|link.
SORT = createdAt|downloads|likes|lastModified|likes30d|trendingScore|mainSize|id|trending|upvotes.
URI is a canonical hf:// URI. QUERY and GLOB are each one string.
Use search for resource discovery, not repository-content search; ls for a known directory, find for recursive file discovery by name/path (not file contents), stat for filesystem metadata or an uncertain target type, cat for text contents, and attach for a complete JPEG, PNG, or WebP image. When the request gives an exact text-file URI, use cat directly; do not add ls or stat first. stat does not read the contents of JSON, Markdown, or other text files.
Search scopes: hf://models[/OWNER], hf://datasets[/OWNER], hf://spaces[/OWNER], hf://collections[/OWNER], hf://papers, and hf://docs[/...]. Repository and repository-file scopes are not supported: search a resource root or owner scope to discover resources; use find for file discovery within a repository or cat for a known text file. Paper and documentation search require QUERY. --tag (repeatable) and --kind are supported only on exactly hf://spaces, not owner scopes or other roots. The only valid --kind value is mcp, which selects MCP Spaces.
Use ls hf://models/trending, hf://datasets/trending, hf://spaces/trending, or hf://papers/trending for trending listings.
hf://papers/ID is a paper directory, not paper text. Use cat hf://papers/ID/paper.md for paper text and cat hf://papers/ID/metadata.json for metadata. No preliminary listing is needed for these known paths. Use ls hf://papers/ID to discover other resources.
Omit --limit, --sort, and --type unless the request requires them. Limits and path-specific behavior are documented at hf://README.md. Issue one hf_fs call.
hub_repo_details
Get details for one or more Hugging Face repos (model, dataset, or space).
Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified. For datasets, use operations: overview, dataset_structure, dataset_preview. Use dataset_structure first to discover configs, splits, sizes, and schema. Use dataset_preview only when config and split are known, unless the dataset has a single config/split.
hub_repo_search
Search Hugging Face repositories with a shared query interface.
Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Include links to repositories in your response.
create_repo
Create a Hugging Face model, dataset, Space, or bucket repository using an hf:// destination URI.
Create a Hugging Face model, dataset, Space, or bucket repository using an hf:// destination URI. Set source_uri to duplicate an existing model, dataset, or Space server-side.
hf_jobs
Remote compute for Hugging Face workflows.
Remote compute for Hugging Face workflows. Run Python/UV or Docker jobs to deeply analyze Hub datasets, repos, traces, models, and large files; compute trends/statistics; run batch inference/evaluation; or perform long-running work with installed libraries. Use for dataset/repo analysis prompts when local chat inspection is insufficient. Includes submit, logs, inspect, cancel, schedule, labels/names, and volume mounting. Minimal run: {"operation":"run","args":{"image":"python:3.12","command":["python","-c","print(123)"]}}. Command arrays are literal argv; strings tokenize quotes and escaping, not shell execution. For pipes, chaining, redirections, or variable expansion, explicitly use ["/bin/sh", "-lc", "..."] only if the image provides that shell. Help: {"operation":"run","args":{"help":true}}; full usage: {}. Follow up with logs or inspect using args: {"job_id":"<returned job ID>"}.