Bump huggingface-hub from 0.21.4 to 0.23.3 in /genai-quickstart-pocs-python/amazon-bedrock-amazon-redshift-poc

[dependabot]

Bumps huggingface-hub from 0.21.4 to 0.23.3.

Release notes

Sourced from huggingface-hub's releases.

[v0.23.2] Patch: Support max_shard_size as string in split_state_dict_into_shards_factory

split_state_dict_into_shards_factory now accepts string values as max_shard_size (ex: "5MB"), in addition to integer values. Related PR: huggingface/huggingface_hub#2286.

Full Changelog: huggingface/huggingface_hub@v0.23.1...v0.23.2

v0.23.1 hot-fix: optimize HTTP calls in HfFileSystem

See huggingface/huggingface_hub#2271 for more details.

Full Changelog: huggingface/huggingface_hub@v0.23.0...v0.23.1

v0.23.0: LLMs with tools, seamless downloads, and much more!

📁 Seamless download to local dir

The 0.23.0 release comes with a big revamp of the download process, especially when it comes to downloading to a local directory. Previously the process was still involving the cache directory and symlinks which led to misconceptions and a suboptimal user experience. The new workflow involves a .cache/huggingface/ folder, similar to the .git/ one, that keeps track of the progress of a download. The main features are:

• no symlinks
• no local copy
• don't re-download when not necessary
• same behavior on both Unix and Windows
• unrelated to cache-system

Example to download q4 GGUF file for microsoft/Phi-3-mini-4k-instruct-gguf:

# Download q4 GGUF file from 
huggingface-cli download microsoft/Phi-3-mini-4k-instruct-gguf Phi-3-mini-4k-instruct-q4.gguf --local-dir=data/phi3

With this addition, interrupted downloads are now resumable! This applies both for downloads in local and cache directories which should greatly improve UX for users with slow/unreliable connections. In this regard, the resume_download parameter is now deprecated (not relevant anymore).

• Revamp download to local dir process by @​Wauplin in #2223
• Rename .huggingface/ folder to .cache/huggingface/ by @​Wauplin in #2262

💡 Grammar and Tools in InferenceClient

It is now possible to provide a list of tools when chatting with a model using the InferenceClient! This major improvement has been made possible thanks to TGI that handle them natively.

>>> from huggingface_hub import InferenceClient
Ask for weather in the next days using tools
>>> client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct")
>>> messages = [
...     {"role": "system", "content": "Don't make assumptions about what values to plug into functions. Ask for clarification if a user request is ambiguous."},
...     {"role": "user", "content": "What's the weather like the next 3 days in San Francisco, CA?"},
... ]
>>> tools = [
...     {
...         "type": "function",
...         "function": {
</tr></table>

... (truncated)

Commits

• 83efe51 Release: v0.23.3
• ddfc007 Fix always None in text_generation output (#2316)
• f3b9c67 Release: v0.23.2
• 20f821b Support max_shard_size as string in split_state_dict_into_shards_factory ...
• 12b34d7 Release: v0.23.1
• 8db9f42 [HfFileSystem] Less /paths-info calls (#2271)
• 5737175 Release: v0.23.0
• 4455c05 Release: v0.23.0.rc1
• 1e8e640 Release: v0.23.0.rc0
• 3a62a08 Delete legacy tests in TestHfHubDownloadRelativePaths + implicit delete fol...
• Additional commits viewable in compare view

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