Inference API

The huggingface_hub library allows users to programmatically access the Inference API. For more information about the Accelerated Inference API, please refer to the documentation here.

class huggingface_hub.InferenceApi

< source >

( repo_id: str task: typing.Optional[str] = None token: typing.Optional[str] = None gpu: typing.Optional[bool] = False )

Client to configure requests and make calls to the HuggingFace Inference API.

Example:

>>> from huggingface_hub.inference_api import InferenceApi

>>> # Mask-fill example
>>> inference = InferenceApi("bert-base-uncased")
>>> inference(inputs="The goal of life is [MASK].")
[{'sequence': 'the goal of life is life.', 'score': 0.10933292657136917, 'token': 2166, 'token_str': 'life'}]

>>> # Question Answering example
>>> inference = InferenceApi("deepset/roberta-base-squad2")
>>> inputs = {
...     "question": "What's my name?",
...     "context": "My name is Clara and I live in Berkeley.",
... }
>>> inference(inputs)
{'score': 0.9326569437980652, 'start': 11, 'end': 16, 'answer': 'Clara'}

>>> # Zero-shot example
>>> inference = InferenceApi("typeform/distilbert-base-uncased-mnli")
>>> inputs = "Hi, I recently bought a device from your company but it is not working as advertised and I would like to get reimbursed!"
>>> params = {"candidate_labels": ["refund", "legal", "faq"]}
>>> inference(inputs, params)
{'sequence': 'Hi, I recently bought a device from your company but it is not working as advertised and I would like to get reimbursed!', 'labels': ['refund', 'faq', 'legal'], 'scores': [0.9378499388694763, 0.04914155602455139, 0.013008488342165947]}

>>> # Overriding configured task
>>> inference = InferenceApi("bert-base-uncased", task="feature-extraction")

Hub Client Library

Inference API

class huggingface_hub.InferenceApi