Inference Providers documentation
Together
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
Chat Completion (LLM)
Find out more about Chat Completion (LLM) here.
Language
Client
Provider
import os
from openai import OpenAI
client = OpenAI(
base_url="/static-proxy?url=https%3A%2F%2Frouter.huggingface.co%2Fv1%26quot%3B%3C%2Fspan%3E%2C
api_key=os.environ["HF_TOKEN"],
)
completion = client.chat.completions.create(
model="openai/gpt-oss-20b: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.
Language
Client
Provider
import os
from openai import OpenAI
client = OpenAI(
base_url="/static-proxy?url=https%3A%2F%2Frouter.huggingface.co%2Fv1%26quot%3B%3C%2Fspan%3E%2C
api_key=os.environ["HF_TOKEN"],
)
completion = client.chat.completions.create(
model="meta-llama/Llama-4-Scout-17B-16E-Instruct: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)Text To Image
Find out more about Text To Image here.
Language
Provider
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-dev",
)