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*   HuggingFace Inference

On this page

HuggingFace Inference
=====================

This Embeddings integration uses the HuggingFace Inference API to generate embeddings for a given text using by default the `sentence-transformers/distilbert-base-nli-mean-tokens` model. You can pass a different model name to the constructor to use a different model.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

You'll first need to install the [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) package and the required peer dep:

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community @huggingface/inference@2

    yarn add @langchain/community @huggingface/inference@2

    pnpm add @langchain/community @huggingface/inference@2

Usage[​](#usage "Direct link to Usage")
---------------------------------------

    import { HuggingFaceInferenceEmbeddings } from "@langchain/community/embeddings/hf";const embeddings = new HuggingFaceInferenceEmbeddings({  apiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.HUGGINGFACEHUB_API_KEY});

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