Bump huggingface-hub from 0.12.1 to 0.20.1

[dependabot]

Bumps huggingface-hub from 0.12.1 to 0.20.1.

Release notes

Sourced from huggingface-hub's releases.

0.20.1: hot-fix Fix circular import

This hot-fix release fixes a circular import error happening when import login or logout helpers from huggingface_hub.

Related PR: huggingface/huggingface_hub#1930

Full Changelog: huggingface/huggingface_hub@v0.20.0...v0.20.1

v0.19.4 - Hot-fix: do not fail if pydantic install is corrupted

On Python3.8, it is fairly easy to get a corrupted install of pydantic (more specificially, pydantic 2.x cannot run if tensorflow is installed because of an incompatible requirement on typing_extensions). Since pydantic is an optional dependency of huggingface_hub, we do not want to crash at huggingface_hub import time if pydantic install is corrupted. However this was the case because of how imports are made in huggingface_hub. This hot-fix releases fixes this bug. If pydantic is not correctly installed, we only raise a warning and continue as if it was not installed at all.

Related PR: huggingface/huggingface_hub#1829

Full Changelog: huggingface/huggingface_hub@v0.19.3...v0.19.4

v0.19.2 - Patch: expose HF_HOME in constants

Not a hot-fix.

In huggingface/huggingface_hub#1786 (already release in 0.19.0), we harmonized the environment variables in the HF ecosystem with the goal to propagate this harmonization to other HF libraries. In this work, we forgot to expose HF_HOME as a constant value that can be reused, especially by transformers or datasets. This release fixes this (see huggingface/huggingface_hub#1825).

Full Changelog: huggingface/huggingface_hub@v0.19.1...v0.19.2

v0.19.1 - Hot-fix: ignore TypeError when listing models with corrupted ModelCard

Full Changelog: huggingface/huggingface_hub@v0.19.0...v0.19.1.

Fixes a regression bug (PR huggingface/huggingface_hub#1821) introduced in 0.19.0 that made looping over models with list_models fail. The problem came from the fact that we are now parsing the data returned by the server into Python objects. However for some models the metadata in the model card is not valid. This is usually checked by the server but some models created before we started to enforce correct metadata are not valid. This hot-fix fixes the issue by ignoring the corrupted data, if any.

v0.19.0: Inference Endpoints and robustness!

(Discuss about the release in our Community Tab. Feedback welcome!! 🤗)

🚀 Inference Endpoints API

Inference Endpoints provides a secure solution to easily deploy models hosted on the Hub in a production-ready infrastructure managed by Huggingface. With huggingface_hub>=0.19.0 integration, you can now manage your Inference Endpoints programmatically. Combined with the InferenceClient, this becomes the go-to solution to deploy models and run jobs in production, either sequentially or in batch!

Here is an example how to get an inference endpoint, wake it up, wait for initialization, run jobs in batch and pause back the endpoint. All of this in a few lines of code! For more details, please check out our dedicated guide.

>>> import asyncio
>>> from huggingface_hub import get_inference_endpoint
Get endpoint + wait until initialized
>>> endpoint = get_inference_endpoint("batch-endpoint").resume().wait()
Run inference
>>> async_client = endpoint.async_client
>>> results = asyncio.gather(*[async_client.text_generation(...) for job in jobs])
Pause endpoint
>>> endpoint.pause()

... (truncated)

Commits

• 9c90f47 Release: v0.20.1
• bbcfe42 Fix circular import in login (#1930)
• 584b5c9 Release: v0.20.0
• 1199f17 Release: v0.20.0.rc1
• 6e369c0 Remove .[docs] extra dependency (#1923)
• d3b146b Release: v0.20.0.rc0
• 1ab9308 Improve snapshot_download offline mode (#1913)
• 1f2ff3e flakyness
• 7544ecc Harmonize commit return type (#1921)
• d132d7a Fix to_local_dir on hf_hub_download edge case (#1919)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #468.