Bump huggingface-hub from 0.17.3 to 0.19.2

[dependabot]

Bumps huggingface-hub from 0.17.3 to 0.19.2.

Release notes

Sourced from huggingface-hub's releases.

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()

• Implement API for Inference Endpoints by @​Wauplin in #1779
• Fix inference endpoints docs by @​Wauplin in #1785

⏬ Improved download experience

huggingface_hub is a library primarily used to transfer (huge!) files with the Huggingface Hub. Our goal is to keep improving the experience for this core part of the library. In this release, we introduce a more robust download mechanism for slow/limited connection while improving the UX for users with a high bandwidth available!

More robust downloads

Getting a connection error in the middle of a download is frustrating. That's why we've implemented a retry mechanism that automatically reconnects if a connection get closed or a ReadTimeout error is raised. The download restart exactly where it stopped without having to redownload any bytes.

• Retry on ConnectionError/ReadTimeout when streaming file from server by @​Wauplin in #1766
• Reset nb_retries if data has been received from the server by @​Wauplin in #1784

... (truncated)

Commits

• fa81494 Release: v0.19.2
• 2ae18b9 Expose HF_HOME in constants (#1825)
• 29bdc65 Release: v0.19.1
• 33b61ae [FIX] Catch TypeError when parsing card data from ModelInfo (#1821)
• 64c6dc9 Release: v0.19.0
• a89d2b6 Release: v0.19.0.rc0
• aa4d3fa Fix HfFileSystemFile when init fails + improve error message (#1805)
• 17be1c5 Add support for progress bars in hf_transfer uploads (#1804)
• d306c90 hf-transfer progress bar (#1792)
• 4c93d89 change prop name (#1803)
• Additional commits viewable in compare view

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