Inference Providers documentation

Together

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Together

All supported Together models can be found here

Together decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models.

Supported tasks

Automatic Speech Recognition

Find out more about Automatic Speech Recognition here.

Chat Completion (LLM)

Find out more about Chat Completion (LLM) here.

import os
from openai import OpenAI

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

completion = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro:together",
    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 openai import OpenAI

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

completion = client.chat.completions.create(
    model="google/gemma-4-31B-it:together",
    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.

Image To Image

Find out more about Image To Image here.

Text To Image

Find out more about Text To Image here.

import os
from huggingface_hub import InferenceClient

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

# output is a PIL.Image object
image = client.text_to_image(
    "Astronaut riding a horse",
    model="black-forest-labs/FLUX.1-schnell",
)

Text To Video

Find out more about Text To Video here.

Update on GitHub