#
Scaleway

> All supported Scaleway models can be found here

Scaleway is a European cloud provider, serving latest LLM models through its Generative APIs alongside a complete cloud ecosystem.

##
Supported tasks

###
Chat Completion (LLM)

Find out more about Chat Completion (LLM) here.

Language

Client

Provider

Settings

    import os
    from openai import OpenAI

    client = OpenAI(
        base_url="https://router.huggingface.co/v1",
        api_key=os.environ["HF_TOKEN"],
    )

    completion = client.chat.completions.create(
        model="openai/gpt-oss-120b:scaleway",
        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.

Language

Client

Provider

Settings

    import os
    from openai import OpenAI

    client = OpenAI(
        base_url="https://router.huggingface.co/v1",
        api_key=os.environ["HF_TOKEN"],
    )

    completion = client.chat.completions.create(
        model="google/gemma-3-27b-it:scaleway",
        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)

###
Feature Extraction

Find out more about Feature Extraction here.

Language

Client

Provider

Settings

    import os
    from huggingface_hub import InferenceClient

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

    result = client.feature_extraction(
        "Today is a sunny day and I will get some ice cream.",
        model="BAAI/bge-multilingual-gemma2",
    )

Update on GitHub