Bump huggingface-hub from 0.13.3 to 0.15.1

[dependabot[bot]]

Bumps huggingface-hub from 0.13.3 to 0.15.1.

Release notes

Sourced from huggingface-hub's releases.

v0.15.1: InferenceClient and background uploads!

InferenceClient

We introduce InferenceClient, a new client to run inference on the Hub. The objective is to:

• support both InferenceAPI and Inference Endpoints services in a single client.
• offer a nice interface with:
  • 1 method per task (e.g. summary = client.summarization("this is a long text"))
  • 1 default model per task (i.e. easy to prototype)
  • explicit and documented parameters
  • convenient binary inputs (from url, path, file-like object,...)
• be flexible and support custom requests if needed

Check out the Inference guide to get a complete overview.

>>> from huggingface_hub import InferenceClient
>>> client = InferenceClient()
>>> image = client.text_to_image("An astronaut riding a horse on the moon.")
>>> image.save("astronaut.png")
>>> client.image_classification("https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg")
[{'score': 0.9779096841812134, 'label': 'Blenheim spaniel'}, ...]

The short-term goal is to add support for more tasks (here is the current list), especially text-generation and handle asyncio calls. The mid-term goal is to deprecate and replace InferenceAPI.

• Enhanced InferenceClient by @​Wauplin in #1474

Non-blocking uploads

It is now possible to run HfApi calls in the background! The goal is to make it easier to upload files periodically without blocking the main thread during a training. The was previously possible when using Repository but is now available for HTTP-based methods like upload_file, upload_folder and create_commit. If run_as_future=True is passed:

• the job is queued in a background thread. Only 1 worker is spawned to ensure no race condition. The goal is NOT to speed up a process by parallelizing concurrent calls to the Hub.
• a Future object is returned to check the job status
• main thread is not interrupted, even if an exception occurs during the upload

In addition to this parameter, a run_as_future(...) method is available to queue any other calls to the Hub. More details in this guide.

>>> from huggingface_hub import HfApi
>>> api = HfApi()
>>> api.upload_file(...)  # takes Xs
URL to upload file
>>> future = api.upload_file(..., run_as_future=True) # instant
>>> future.result() # wait until complete
URL to upload file

... (truncated)

Commits

• 2c598c4 Bump to 0.15.1
• e8c3d2c Release: v0.15.0
• a938048 Release: v0.15.0.rc0
• b347dfd Support image-to-image task in InferenceApi (#1489)
• e2e9a52 fix pause_and_restart test
• cf74108 Enhanced InferenceClient (#1474)
• c0eb55b dummy
• 4344b26 Update _hf_folder.py (#1487)
• cbd2a0e Fix incorrect syntax in _deprecation.py warning message for `_deprecate_lis...
• 1c03f0e add utf8 encoding when opening files for windows (#1484)
• Additional commits viewable in compare view

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