---
title: HuggingFace
description: Route HuggingFace Inference API requests through AI Gateway for observability and control.
image: https://developers.cloudflare.com/dev-products-preview.png
---

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# HuggingFace

[HuggingFace ↗](https://huggingface.co/) helps users build, deploy and train machine learning models.

## Endpoint

```
https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/huggingface
```

## URL structure

When making requests to HuggingFace Inference API, replace `https://api-inference.huggingface.co/models/` in the URL you're currently using with `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/huggingface`. Note that the model you're trying to access should come right after, for example `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/huggingface/bigcode/starcoder`.

## Prerequisites

When making requests to HuggingFace, ensure you have the following:

* Your AI Gateway Account ID.
* Your AI Gateway gateway name.
* An active HuggingFace API token.
* The name of the HuggingFace model you want to use.

## Examples

### cURL

Request

```
curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/huggingface/bigcode/starcoder \  --header 'Authorization: Bearer {hf_api_token}' \  --header 'Content-Type: application/json' \  --data '{    "inputs": "console.log"}'
```

### Use HuggingFace.js library with JavaScript

If you are using the HuggingFace.js library, you can set your inference endpoint like this:

JavaScript

```
import { HfInferenceEndpoint } from "@huggingface/inference";
const accountId = "{account_id}";const gatewayId = "{gateway_id}";const model = "gpt2";const baseURL = `https://gateway.ai.cloudflare.com/v1/${accountId}/${gatewayId}/huggingface/${model}`;const apiToken = env.HF_API_TOKEN;
const hf = new HfInferenceEndpoint(baseURL, apiToken);
```

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```