HF Inference

HF Inference is the serverless Inference API powered by Hugging Face. This service used to be called “Inference API (serverless)” prior to Inference Providers. If you are interested in deploying models to a dedicated and autoscaling infrastructure managed by Hugging Face, check out Inference Endpoints instead.

Supported tasks

Automatic Speech Recognition

Find out more about Automatic Speech Recognition here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

output = client.automatic_speech_recognition("sample1.flac", model="openai/whisper-large-v3-turbo")

Chat Completion (LLM)

Find out more about Chat Completion (LLM) here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

completion = client.chat.completions.create(
    model="Qwen/QwQ-32B",
    messages=[
        {
            "role": "user",
            "content": "What is the capital of France?"
        }
    ],
    max_tokens=512,
)

print(completion.choices[0].message)

Chat Completion (VLM)

Find out more about Chat Completion (VLM) here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

completion = client.chat.completions.create(
    model="meta-llama/Llama-3.2-11B-Vision-Instruct",
    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"
                    }
                }
            ]
        }
    ],
    max_tokens=512,
)

print(completion.choices[0].message)

Feature Extraction

Find out more about Feature Extraction here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

result = client.feature_extraction(
    inputs="Today is a sunny day and I will get some ice cream.",
    model="kyutai/mimi",
)

Fill Mask

Find out more about Fill Mask here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

result = client.fill_mask(
    inputs="The answer to the universe is undefined.",
    model="google-bert/bert-base-uncased",
)

Image Classification

Find out more about Image Classification here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

output = client.image_classification("cats.jpg", model="google/vit-base-patch16-224")

Image Segmentation

Find out more about Image Segmentation here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

output = client.image_segmentation("cats.jpg", model="jonathandinu/face-parsing")

Summarization

Find out more about Summarization here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

result = client.summarization(
    inputs="The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct.",
    model="pszemraj/led-base-book-summary",
)

Text Classification

Find out more about Text Classification here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

result = client.text_classification(
    inputs="I like you. I love you",
    model="NousResearch/Minos-v1",
)

Text Generation

Find out more about Text Generation here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

completion = client.chat.completions.create(
    model="Qwen/QwQ-32B",
    messages="\"Can you please let us know more details about your \"",
    max_tokens=512,
)

print(completion.choices[0].message)

Text To Image

Find out more about Text To Image here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

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

Translation

Find out more about Translation here.

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="hf-inference",
    api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx",
)

result = client.translation(
    inputs="Меня зовут Вольфганг и я живу в Берлине",
    model="google-t5/t5-base",
)
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