Files
langchain-oss-model-profiles[bot]andmdrxy 64f5ebf971 chore(model-profiles): refresh model profile data (#39036)
Automated refresh of model profile data for all in-monorepo partner
integrations via `langchain-profiles refresh`.

🤖 Generated by the [`refresh_model_profiles`
workflow](https://github.com/langchain-ai/langchain/blob/master/.github/workflows/refresh_model_profiles.yml).


## Summary of changes

**1 added · 0 removed · 1 changed** across 2 provider(s).

<details>
<summary>huggingface</summary>

**➕ 1 added**
- `XiaomiMiMo/MiMo-V2.5` — 262,144 ctx, 131,072 out, reasoning, tools

</details>

<details>
<summary>openrouter</summary>

**✏️ 1 changed**
- `google/gemma-4-31b-it`: max output tokens 16,384 → 262,144

</details>

Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
2026-07-23 09:24:05 -04:00
..
2024-05-13 20:53:15 +00:00
2024-05-13 20:53:15 +00:00
2026-06-12 14:54:25 -04:00

langchain-huggingface

PyPI - Version PyPI - License PyPI - Downloads Twitter

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

Quick Install

uv add 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:

uv add "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:

uv add "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.

Resources

  • LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
  • Code of Conduct — community guidelines and standards