build(deps): bump huggingface-hub from 1.24.0 to 1.27.0

[dependabot]

Bumps huggingface-hub from 1.24.0 to 1.27.0.

Release notes

Sourced from huggingface-hub's releases.

[v1.27.0] Automatic hf-cli skill install, engine flags for Inference Endpoints & more

🤖 The hf-cli skill installs itself and stays in sync

The hf-cli skill teaches AI agents how to use the hf CLI, but until now you had to know it existed and install it by hand. The standalone installers (bash and PowerShell) now install it globally by default, pass --exclude-skill / -ExcludeSkill to skip — and hf update refreshes it afterwards, without ever bringing it back if you opted out or removed it. Any hf command also hints, at most once a day, when the skill is missing or was generated by another hf version. The hint is purely local, never installs anything on its own, and is silenced by HF_HUB_DISABLE_UPDATE_CHECK=1.

# The installer sets up the skill for you...
>>> curl -LsSf https://hf.co/cli/install.sh | bash -s
[INFO] Installing the hf-cli skill for AI agents...
Installed 'hf-cli' to central location: ~/.agents/skills/hf-cli
[INFO] Pass --exclude-skill to skip it.
...or skip it entirely
>>> curl -LsSf https://hf.co/cli/install.sh | bash -s -- --exclude-skill
[INFO] Skipping the hf-cli skill (--exclude-skill)

• [CLI] Install & refresh the hf-cli skill (installer, update, hints) by @​Wauplin in #4608

⚙️ Engine flags for Inference Endpoints, at deploy time and after

--container-command / --container-args no longer require --custom-image. That gate was conservative CLI scoping, not an API constraint: model.command and model.args are top-level fields of the endpoint payload and apply to managed engine images too, which is how the vLLM engine docs recommend passing engine flags. They can now also be changed after deploy — hf endpoints update gained both flags, and HfApi.update_inference_endpoint / InferenceEndpoint.update the matching container_command / container_args parameters. Values replace rather than append: pass an empty string to reset to the image default, or omit the flag to leave it untouched. --health-route and --port still require --custom-image, since they only exist on the custom image payload.

# Engine flags at deploy time, no custom image required anymore
>>> hf endpoints deploy my-endpoint --repo gpt2 --framework pytorch \
      --accelerator cpu --instance-size x2 --instance-type intel-icl \
      --region us-east-1 --vendor aws \
      --container-args "--max-model-len 8192"
Change engine flags on an existing endpoint (previously UI / raw API only)
>>> hf endpoints update my-endpoint --container-args "--enable-auto-tool-choice --tool-call-parser lfm2"
Reset to the image defaults
>>> hf endpoints update my-endpoint --container-args ""

• [Inference Endpoints] Allow container command/args without custom image + support them in update by @​gary149 in #4628

🚀 Baseten joins the inference providers

Baseten is now supported for the conversational task. It serves an OpenAI-compatible chat completions API, so there are no provider-specific quirks: target it with provider="baseten" and your own key, or let auto-routing pick it for any model already mapped on the Hub.

>>> from huggingface_hub import InferenceClient
>>> client = InferenceClient(provider="baseten", api_key="<BASETEN_API_KEY>")
>>> out = client.chat_completion(
...     model="zai-org/GLM-5.2",
...     messages=[{"role": "user", "content": "Hello!"}],
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Commits

• a7d85da Release: v1.27.0
• 1ea6f21 Release: v1.27.0.rc0
• f4c8347 [Inference Endpoints] Allow container command/args without custom image + sup...
• 9a3222e Bump the actions group with 10 updates (#4636)
• db2c685 [HfFileSystem] Fix bucket prefix collisions (#4630)
• 0234ea1 [HfApi] Add region to ExpandSpaceProperty_T (#4641)
• 77969c8 [Xet] Bump minimum hf-xet to 1.5.2 (#4640)
• b4f4e92 [Inference] Add Baseten as inference provider (#3414)
• b9dddd9 [Cache] Don't try to delete snapshot files twice when deleting a revision (#4...
• 62b8e19 [CLI] Install & refresh the hf-cli skill (installer, update, hints) (#4608)
• Additional commits viewable in compare view