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replace hf_xxxxxxxxxxxx by process.env.HF_TOKEN in examples #1764

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Jun 4, 2025
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replace hf_xxxxxxxxxxxx by process.env.HF_TOKEN in examples #1764

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10 changes: 6 additions & 4 deletions docs/inference-providers/index.md
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Expand Up @@ -95,10 +95,11 @@ curl https://router.huggingface.co/novita/v3/openai/chat/completions \
In Python, you can use the `requests` library to make raw requests to the API:

```python
import os
import requests

API_URL = "https://router.huggingface.co/novita/v3/openai/chat/completions"
headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}
headers = {"Authorization": f"Bearer {os.environ['HF_TOKEN']}"}
payload = {
"messages": [
{
Expand All @@ -116,11 +117,12 @@ print(response.json()["choices"][0]["message"])
For convenience, the Python library `huggingface_hub` provides an [`InferenceClient`](https://huggingface.co/docs/huggingface_hub/guides/inference) that handles inference for you. Make sure to install it with `pip install huggingface_hub`.

```python
import os
from huggingface_hub import InferenceClient

client = InferenceClient(
provider="novita",
api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
Expand Down Expand Up @@ -149,7 +151,7 @@ const response = await fetch(
{
method: "POST",
headers: {
Authorization: `Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx`,
Authorization: `Bearer ${process.env.HF_TOKEN}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
Expand All @@ -173,7 +175,7 @@ For convenience, the JS library `@huggingface/inference` provides an [`Inference
```js
import { InferenceClient } from "@huggingface/inference";

const client = new InferenceClient("hf_xxxxxxxxxxxxxxxxxxxxxxxx");
const client = new InferenceClient(process.env.HF_TOKEN);

const chatCompletion = await client.chatCompletion({
provider: "novita",
Expand Down