Files
langchain/libs/partners/huggingface
Mason Daugherty abd9d4ce31 ci(infra): harden Dependabot version-bound preservation (#37510)
Dependabot has been stripping upper/lower bounds from internal
`langchain-*` deps in partner `pyproject.toml` files (e.g. #37288
reduced `langchain-core>=1.3.2,<2.0.0` to bare `langchain-core`). Locks
down the config so bumps preserve existing specifiers, and restores the
bounds it already mangled across the monorepo.

## Changes
- Add `versioning-strategy: increase` to every `uv` ecosystem block in
`.github/dependabot.yml` so future bumps move the lower bound in place
instead of rewriting the constraint.
- Ignore workspace-internal packages (`langchain-core`, `langchain`,
`langchain-classic`, `langchain-text-splitters`, `langchain-tests`,
`langchain-model-profiles`) on every `uv` block — these are editable
installs from local paths and their published constraints are
hand-curated for release, not Dependabot's to bump.
- Restore stripped bounds across all `libs/` packages — runtime
`dependencies` and every dep group (`test`, `dev`, `test_integration`,
`typing`, `lint`) — to `>=1.4.0,<2.0.0` for `langchain-core` and
`>=1.0.0,<2.0.0` for the other internal packages.
2026-05-18 17:24:19 -05:00
..
2024-05-13 20:53:15 +00:00
2024-05-13 20:53:15 +00:00

langchain-huggingface

PyPI - Version PyPI - License PyPI - Downloads Twitter

Looking for the JS/TS version? Check out LangChain.js.

Quick Install

pip install langchain-huggingface

Note: The base install does not include sentence-transformers or transformers. If you plan to use HuggingFaceEmbeddings or HuggingFacePipeline for local inference, install the [full] extra which includes sentence-transformers>=5.2.0 and transformers>=5.0.0:

pip install langchain-huggingface[full]

Migrating from langchain-community? Note that langchain-community accepted sentence-transformers>=2.2.0, but langchain-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.