Update dependency huggingface_hub to v0.28.1

[red-hat-konflux]

This PR contains the following updates:

Package	Type	Update	Change
huggingface_hub	project.dependencies	minor	==0.27.0 -> ==0.28.1

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Release Notes

huggingface/huggingface_hub (huggingface_hub)

v0.28.1: : FIX path in HF_ENDPOINT discarded

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Release 0.28.0 introduced a bug making it impossible to set a HF_ENDPOINT env variable with a value with a subpath. This has been fixed in https://github.com/huggingface/huggingface_hub/pull/2807.

Full Changelog: huggingface/huggingface_hub@v0.28.0...v0.28.1

v0.28.0: [v0.28.0]: Third-party Inference Providers on the Hub & multiple quality of life improvements and bug fixes

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⚡️Unified Inference Across Multiple Inference Providers

The InferenceClient now supports third-party providers, offering a unified interface to run inference across multiple services while leveraging models from the Hugging Face Hub. This update enables developers to:

• 🌐 Switch providers seamlessly - Transition between inference providers with a single interface.
• 🔗 Unified model IDs - Always reference Hugging Face Hub model IDs, even when using external providers.
• 🔑 Simplified billing and access management - You can use your Hugging Face Token for routing to third-party providers (billed through your HF account).

A list of supported third-party providers can be found here.

Example of text-to-image inference with Replicate:

>>> from huggingface_hub import InferenceClient

>>> replicate_client = InferenceClient(
...    provider="replicate",
...    api_key="my_replicate_api_key", # Using your personal Replicate key
)
>>> image = replicate_client.text_to_image(
...    "A cyberpunk cat hacking neural networks",
...    model="black-forest-labs/FLUX.1-schnell"
)
>>> image.save("cybercat.png")

Another example of chat completion with Together AI:

>>> from huggingface_hub import InferenceClient
>>> client = InferenceClient(
...     provider="together",  # Use Together AI provider
...     api_key="<together_api_key>",  # Pass your Together API key directly
... )
>>> client.chat_completion(
...     model="deepseek-ai/DeepSeek-R1",
...     messages=[{"role": "user", "content": "How many r's are there in strawberry?"}],
... )

When using external providers, you can choose between two access modes: either use the provider's native API key, as shown in the examples above, or route calls through Hugging Face infrastructure (billed to your HF account):

>>> from huggingface_hub import InferenceClient
>>> client = InferenceClient(
...    provider="fal-ai",
...    token="hf_****"  # Your Hugging Face token
)

⚠️ Parameters availability may vary between providers - check provider documentation.
🔜 New providers/models/tasks will be added iteratively in the future.
👉 You can find a list of supported tasks per provider and more details here.

• [InferenceClient] Add third-party providers support by @​hanouticelina in #​2757
• Unified prepare_request method + class-based providers by @​Wauplin in #​2777
• [InferenceClient] Support proxy calls for 3rd party providers by @​hanouticelina in #​2781
• [InferenceClient] Add text-to-video task and update supported tasks and models by @​hanouticelina in #​2786
• Add type hints for providers by @​Wauplin in #​2788
• [InferenceClient] Update inference documentation by @​hanouticelina in #​2776
• Add text-to-video to supported tasks by @​Wauplin in #​2790

✨ HfApi

The following change aligns the client with server-side updates by adding new repositories properties: usedStorage and resourceGroup.

[HfApi] update list of repository properties following server side updates by @​hanouticelina in #​2728

Extends empty commit prevention to file copy operations, preserving clean version histories when no changes are made.

[HfApi] prevent empty commits when copying files by @​hanouticelina in #​2730

🌐 📚 Documentation

Thanks to @​WizKnight, the hindi translation is much better!

Improved Hindi Translation in Documentation📝 by @​WizKnight in #​2697

💔 Breaking changes

The like endpoint has been removed to prevent misuse. You can still remove existing likes using the unlikeendpoint.

[HfApi] remove like endpoint by @​hanouticelina in #​2739

🛠️ Small fixes and maintenance

😌 QoL improvements

• [InferenceClient] flag chat_completion()'s logit_bias as UNUSED by @​hanouticelina in #​2724
• Remove unused parameters from method's docstring by @​hanouticelina in #​2738
• Add optional rejection_reason when rejecting a user access token by @​Wauplin in #​2758
• Add py.typed to be compliant with PEP-561 again by @​hanouticelina in #​2752

🐛 Bug and typo fixes

• Fix super_squash_history revision not urlencoded by @​Wauplin in #​2795
• Replace model repo with repo in docstrings by @​albertvillanova in #​2715
• [BUG] Fix 404 NOT FOUND issue caused by endpoint tail slash by @​Mingqi2 in #​2721
• Fix typing.get_type_hints call on a ModelHubMixin by @​aliberts in #​2729
• fix typo by @​qwertyforce in #​2762
• rejection reason docstring by @​Wauplin in #​2764
• Add timeout to WeakFileLock by @​Wauplin in #​2751
• FixCardData.get() to respect default values when None by @​hanouticelina in #​2770
• Fix RepoCard.load when passing a repo_id that is also a dir path by @​Wauplin in #​2771
• Fix filename too long when downloading to local folder by @​Wauplin in #​2789

🏗️ internal

• Migrate to new Ruff "2025 style guide" formatter by @​hanouticelina in #​2749
• remove org tokens tests by @​hanouticelina in #​2759
• Fix RepoCard test on Windows by @​hanouticelina in #​2774
• [Bot] Update inference types by @​HuggingFaceInfra in #​2712

v0.27.1: [v0.27.1]: Fix typing.get_type_hints call on a ModelHubMixin

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Full Changelog: huggingface/huggingface_hub@v0.27.0...v0.27.1

See #​2729 for more details.

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