mirror of https://github.com/hwchase17/langchain.git synced 2025-06-20 13:54:48 +00:00

History

Lucain a2023a1e96 huggingface; fix huggingface_endpoint.py (initialize clients only with supported kwargs) (#26378 ) ## Description By default, `HuggingFaceEndpoint` instantiates both the `InferenceClient` and the `AsyncInferenceClient` with the `"server_kwargs"` passed as input. This is an issue as both clients might not support exactly the same kwargs. This has been highlighted in https://github.com/huggingface/huggingface_hub/issues/2522 by @morgandiverrez with the `trust_env` parameter. In order to make `langchain` integration future-proof, I do think it's wiser to forward only the supported parameters to each client. Parameters that are not supported are simply ignored with a warning to the user. From a `huggingface_hub` maintenance perspective, this allows us much more flexibility as we are not constrained to support the exact same kwargs in both clients. ## Issue https://github.com/huggingface/huggingface_hub/issues/2522 ## Dependencies None ## Twitter https://x.com/Wauplin --------- Co-authored-by: Erick Friis <erick@langchain.dev>		2024-09-20 16:05:24 -07:00
..
langchain_huggingface	huggingface; fix huggingface_endpoint.py (initialize clients only with supported kwargs) (#26378 )	2024-09-20 16:05:24 -07:00
scripts	multiple: pydantic 2 compatibility, v0.3 (#26443 )	2024-09-13 14:38:45 -07:00
tests	huggingface[patch]: xfail test (#26479 )	2024-09-13 23:16:06 +00:00
.gitignore	huggingface: init package (#21097 )	2024-05-13 20:53:15 +00:00
LICENSE	huggingface: init package (#21097 )	2024-05-13 20:53:15 +00:00
Makefile	standard-tests[patch]: add Ser/Des test	2024-09-04 10:24:06 -07:00
poetry.lock	huggingface: release 0.1 (#26463 )	2024-09-13 22:39:49 +00:00
pyproject.toml	huggingface: release 0.1 (#26463 )	2024-09-13 22:39:49 +00:00
README.md	huggingface: init package (#21097 )	2024-05-13 20:53:15 +00:00

README.md

langchain-huggingface

This package contains the LangChain integrations for huggingface related classes.

Installation and Setup

Install the LangChain partner package

pip install langchain-huggingface