huggingface/huggingface_hub
The official CLI and Python client for the Hugging Face Hub.
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- AuthenticationThe huggingface_hub library allows users to programmatically manage authentication to the Hub. This includes logging in, logging out, switching between tokens, and listing available tokens.docs/source/en/package_reference/authentication.md
- Cache-system referenceThe caching system was updated in v0.8.0 to become the central cache-system shared across libraries that depend on the Hub. Read the cache-system guide for a detailed presentation of caching at HF.docs/source/en/package_reference/cache.md
- Repository CardsThe huggingface_hub library provides a Python interface to create, share, and update Model/Dataset Cards. Visit the dedicated documentation page for a deeper view of what Model Cards on the Hub are,…docs/source/en/package_reference/cards.md
- `hf`Hugging Face Hub CLIdocs/source/en/package_reference/cli.md
- Managing collectionsCheck out the [HfApi] documentation page for the reference of methods to manage your Space on the Hub.docs/source/en/package_reference/collections.md
- Interacting with Discussions and Pull RequestsCheck the [HfApi] documentation page for the reference of methods enabling interaction with Pull Requests and Discussions on the Hub.docs/source/en/package_reference/community.md
- Strict DataclassesThe huggingface_hub package provides a utility to create strict dataclasses. These are enhanced versions of Python's standard dataclass with additional validation features. Strict dataclasses ensure…docs/source/en/package_reference/dataclasses.md
- Environment variableshuggingface_hub can be configured using environment variables.docs/source/en/package_reference/environment_variables.md
- Downloading files[[autodoc]] huggingface_hub.hf_hub_downloaddocs/source/en/package_reference/file_download.md
- HfApi ClientBelow is the documentation for the HfApi class, which serves as a Python wrapper for the Hugging Face Hub's API.docs/source/en/package_reference/hf_api.md
- Filesystem APIThe HfFileSystem class provides a pythonic file interface to the Hugging Face Hub based on fsspec.docs/source/en/package_reference/hf_file_system.md
- HF URIsA HF URI is a URI-like string that identifies a location on the Hugging Face Hub. Throughout the library and the CLI, hf://... strings are used to point at:docs/source/en/package_reference/hf_uris.md
- InferenceInference is the process of using a trained model to make predictions on new data. Because this process can be compute-intensive, running on a dedicated or external service can be an interesting opti…docs/source/en/package_reference/inference_client.md
- Inference EndpointsInference Endpoints provides a secure production solution to easily deploy models on a dedicated and autoscaling infrastructure managed by Hugging Face. An Inference Endpoint is built from a model fr…docs/source/en/package_reference/inference_endpoints.md
- Inference typesThis page lists the types (e.g. dataclasses) available for each task supported on the Hugging Face Hub. Each task is specified using a JSON schema, and the types are generated from these schemas - wi…docs/source/en/package_reference/inference_types.md
- JobsCheck the [HfApi] documentation page for the reference of methods to manage your Jobs on the Hub.docs/source/en/package_reference/jobs.md
- MCP ClientThe huggingface_hub library now includes an [MCPClient], designed to empower Large Language Models (LLMs) with the ability to interact with external Tools via the Model Context Protocol (MCP). This c…docs/source/en/package_reference/mcp.md
- Mixins & serialization methodsThe huggingface_hub library offers a range of mixins that can be used as a parent class for your objects, in order to provide simple uploading and downloading functions. Check out our integration gui…docs/source/en/package_reference/mixins.md
- OAuth and FastAPIOAuth is an open standard for access delegation, commonly used to grant applications limited access to a user's information without exposing their credentials. When combined with FastAPI it allows yo…docs/source/en/package_reference/oauth.md
- OverviewThis section contains an exhaustive and technical description of huggingface_hub classes and methods.docs/source/en/package_reference/overview.md
- SandboxesCheck out the Sandboxes guide to learn how to use them.docs/source/en/package_reference/sandbox.md
- Serializationhuggingface_hub provides helpers to save and load ML model weights in a standardized way. This part of the library is still under development and will be improved in future releases. The goal is to h…docs/source/en/package_reference/serialization.md
- Managing your Space runtimeCheck the [HfApi] documentation page for the reference of methods to manage your Space on the Hub.docs/source/en/package_reference/space_runtime.md
- TensorBoard loggerTensorBoard is a visualization toolkit for machine learning experimentation. TensorBoard allows tracking and visualizing metrics such as loss and accuracy, visualizing the model graph, viewing histog…docs/source/en/package_reference/tensorboard.md
- UtilitiesThe huggingface_hub package exposes a logging utility to control the logging level of the package itself. You can import it as such:docs/source/en/package_reference/utilities.md
- Webhooks ServerWebhooks are a foundation for MLOps-related features. They allow you to listen for new changes on specific repos or to all repos belonging to particular users/organizations you're interested in follo…docs/source/en/package_reference/webhooks_server.md
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