HuggingFace
Last updated Apr 20, 2026 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
Requestbash
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:
JavaScriptjs
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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