llama-stack-mirror/docs/source/providers/inference/remote_hf_serverless.md
Sébastien Han c9a49a80e8
docs: auto generated documentation for providers (#2543)
# What does this PR do?

Simple approach to get some provider pages in the docs.

Add or update description fields in the provider configuration class
using Pydantic’s Field, ensuring these descriptions are clear and
complete, as they will be used to auto-generate provider documentation
via ./scripts/distro_codegen.py instead of editing the docs manually.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-30 15:13:20 +02:00

673 B

remote::hf::serverless

Description

HuggingFace Inference API serverless provider for on-demand model inference.

Configuration

Field Type Required Default Description
huggingface_repo <class 'str'> No PydanticUndefined The model ID of the model on the Hugging Face Hub (e.g. 'meta-llama/Meta-Llama-3.1-70B-Instruct')
api_token pydantic.types.SecretStr | None No Your Hugging Face user access token (will default to locally saved token if not provided)

Sample Configuration

huggingface_repo: ${env.INFERENCE_MODEL}
api_token: ${env.HF_API_TOKEN}