Inference Providers documentation

Featherless AI

Hugging Face's logo
Join the Hugging Face community

and get access to the augmented documentation experience

to get started

Featherless AI

Featherless AI is a serverless AI inference platform that offers access to thousands of open-source models.

Our goal is to make all AI models available for serverless inference. We provide inference via API to a continually expanding library of open-weight models.

Supported tasks

Chat Completion (LLM)

Find out more about Chat Completion (LLM) here.

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="featherless-ai",
    api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
    model="mistralai/Magistral-Small-2506",
    messages=[
        {
            "role": "user",
            "content": "What is the capital of France?"
        }
    ],
)

print(completion.choices[0].message)

Chat Completion (VLM)

Find out more about Chat Completion (VLM) here.

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="featherless-ai",
    api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
    model="google/gemma-3-27b-it",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Describe this image in one sentence."
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
                    }
                }
            ]
        }
    ],
)

print(completion.choices[0].message)

Text Generation

Find out more about Text Generation here.

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="featherless-ai",
    api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
    model="mistralai/Magistral-Small-2506",
    messages="\"Can you please let us know more details about your \"",
)

print(completion.choices[0].message)
< > Update on GitHub