Test targets run with `-n auto`, which makes `pytest-benchmark` (present via `langchain-tests`) auto-disable itself and emit a `PytestBenchmarkWarning` once per xdist worker. Passing `--benchmark-disable` turns the plugin off explicitly so the warning never fires, matching what `core` and `langchain_v1` already do. ## Changes - Add `--benchmark-disable` to the `-n auto` test targets across `langchain` (unit) and 14 partner packages' integration targets: `anthropic`, `chroma`, `deepseek`, `exa`, `fireworks`, `groq`, `huggingface`, `mistralai`, `nomic`, `ollama`, `openai`, `openrouter`, `qdrant`, `xai`. - Deliberately excluded `text-splitters` and `model-profiles`: their `test` group doesn't install `pytest-benchmark`, so the flag would fail with `unrecognized arguments`. Verified by importing the plugin under each package's actual dependency group before editing.
langchain-huggingface
Looking for the JS/TS version? Check out LangChain.js.
Quick Install
pip install langchain-huggingface
Note: The base install does not include
sentence-transformersortransformers. If you plan to useHuggingFaceEmbeddingsorHuggingFacePipelinefor local inference, install the[full]extra which includessentence-transformers>=5.2.0andtransformers>=5.0.0:pip install langchain-huggingface[full]Migrating from
langchain-community? Note thatlangchain-communityacceptedsentence-transformers>=2.2.0, butlangchain-huggingface[full]requires>=5.2.0. If your project pins an older version, upgrade it:pip install "sentence-transformers>=5.2.0"
🤔 What is this?
This package contains the LangChain integrations for Hugging Face related classes.
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.
📕 Releases & Versioning
See our Releases and Versioning policies.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.