dependabot[bot] opened a new pull request, #3003:
URL: https://github.com/apache/iceberg-rust/pull/3003

   Bumps [huggingface-hub](https://github.com/huggingface/huggingface_hub) from 
1.26.0 to 1.27.0.
   <details>
   <summary>Release notes</summary>
   <p><em>Sourced from <a 
href="https://github.com/huggingface/huggingface_hub/releases";>huggingface-hub's
 releases</a>.</em></p>
   <blockquote>
   <h2>[v1.27.0] Automatic <code>hf-cli</code> skill install, engine flags for 
Inference Endpoints &amp; more</h2>
   <h2>🤖 The <code>hf-cli</code> skill installs itself and stays in sync</h2>
   <p>The <a 
href="https://huggingface.co/docs/hub/agents-cli";><code>hf-cli</code> skill</a> 
teaches AI agents how to use the <code>hf</code> CLI, but until now you had to 
know it existed and install it by hand. The standalone installers 
(<code>bash</code> and <code>PowerShell</code>) now install it globally by 
default, pass <code>--exclude-skill</code> / <code>-ExcludeSkill</code> to skip 
— and <code>hf update</code> refreshes it afterwards, without ever bringing it 
back if you opted out or removed it. Any <code>hf</code> command also hints, at 
most once a day, when the skill is missing or was generated by another 
<code>hf</code> version. The hint is purely local, never installs anything on 
its own, and is silenced by <code>HF_HUB_DISABLE_UPDATE_CHECK=1</code>.</p>
   <pre lang="bash"><code># The installer sets up the skill for you...
   &gt;&gt;&gt; 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.
   <h1>...or skip it entirely</h1>
   <p>&gt;&gt;&gt; curl -LsSf <a 
href="https://hf.co/cli/install.sh";>https://hf.co/cli/install.sh</a> | bash -s 
-- --exclude-skill
   [INFO] Skipping the hf-cli skill (--exclude-skill)
   </code></pre></p>
   <ul>
   <li>[CLI] Install &amp; refresh the hf-cli skill (installer, update, hints) 
by <a href="https://github.com/Wauplin";><code>@​Wauplin</code></a> in <a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4608";>#4608</a></li>
   </ul>
   <h2>⚙️ Engine flags for Inference Endpoints, at deploy time and after</h2>
   <p><code>--container-command</code> / <code>--container-args</code> no 
longer require <code>--custom-image</code>. That gate was conservative CLI 
scoping, not an API constraint: <code>model.command</code> and 
<code>model.args</code> 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 — <code>hf 
endpoints update</code> gained both flags, and 
<code>HfApi.update_inference_endpoint</code> / 
<code>InferenceEndpoint.update</code> the matching 
<code>container_command</code> / <code>container_args</code> parameters. Values 
replace rather than append: pass an empty string to reset to the image default, 
or omit the flag to leave it untouched. <code>--health-route</code> and 
<code>--port</code> still require <code>--custom-image</code>, since they only 
exist on the custom image payload.</p>
   <pre lang="bash"><code># Engine flags at deploy time, no custom image 
required anymore
   &gt;&gt;&gt; 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 &quot;--max-model-len 8192&quot;
   <h1>Change engine flags on an existing endpoint (previously UI / raw API 
only)</h1>
   <p>&gt;&gt;&gt; hf endpoints update my-endpoint --container-args 
&quot;--enable-auto-tool-choice --tool-call-parser lfm2&quot;</p>
   <h1>Reset to the image defaults</h1>
   <p>&gt;&gt;&gt; hf endpoints update my-endpoint --container-args &quot;&quot;
   </code></pre></p>
   <ul>
   <li>[Inference Endpoints] Allow container command/args without custom image 
+ support them in update by <a 
href="https://github.com/gary149";><code>@​gary149</code></a> in <a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4628";>#4628</a></li>
   </ul>
   <h2>🚀 Baseten joins the inference providers</h2>
   <p><a href="https://www.baseten.co";>Baseten</a> is now supported for the 
<code>conversational</code> task. It serves an OpenAI-compatible chat 
completions API, so there are no provider-specific quirks: target it with 
<code>provider=&quot;baseten&quot;</code> and your own key, or let auto-routing 
pick it for any model already mapped on the Hub.</p>
   <pre lang="py"><code>&gt;&gt;&gt; from huggingface_hub import InferenceClient
   <p>&gt;&gt;&gt; client = InferenceClient(provider=&quot;baseten&quot;, 
api_key=&quot;&lt;BASETEN_API_KEY&gt;&quot;)
   &gt;&gt;&gt; out = client.chat_completion(
   ...     model=&quot;zai-org/GLM-5.2&quot;,
   ...     messages=[{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: 
&quot;Hello!&quot;}],
   &lt;/tr&gt;&lt;/table&gt;
   </code></pre></p>
   </blockquote>
   <p>... (truncated)</p>
   </details>
   <details>
   <summary>Commits</summary>
   <ul>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/a7d85da5de06e8b85e94999e7cf985f6e0f9991b";><code>a7d85da</code></a>
 Release: v1.27.0</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/1ea6f210b9d21d3efaf85d1ca3be6cd83d2eb385";><code>1ea6f21</code></a>
 Release: v1.27.0.rc0</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/f4c8347e9dd43b5b967eafc7c41f37aba1f4c810";><code>f4c8347</code></a>
 [Inference Endpoints] Allow container command/args without custom image + 
sup...</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/9a3222edf1cc7bf70da2d003694c497c6270fe9b";><code>9a3222e</code></a>
 Bump the actions group with 10 updates (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4636";>#4636</a>)</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/db2c68587e44c52c063e77854824a333639e8d2c";><code>db2c685</code></a>
 [HfFileSystem] Fix bucket prefix collisions (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4630";>#4630</a>)</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/0234ea1a6c81075fba44796bbd6592d5ed849165";><code>0234ea1</code></a>
 [HfApi] Add <code>region</code> to <code>ExpandSpaceProperty_T</code> (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4641";>#4641</a>)</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/77969c88b2290d566a7e6c8340112e57fcafe3d3";><code>77969c8</code></a>
 [Xet] Bump minimum hf-xet to 1.5.2 (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4640";>#4640</a>)</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/b4f4e92226642a4472945a174b9761b688a27dae";><code>b4f4e92</code></a>
 [Inference] Add Baseten as inference provider (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/3414";>#3414</a>)</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/b9dddd9f373e71690babeb4f999e480f2dd9b319";><code>b9dddd9</code></a>
 [Cache] Don't try to delete snapshot files twice when deleting a revision (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4";>#4</a>...</li>
   <li><a 
href="https://github.com/huggingface/huggingface_hub/commit/62b8e1993e1bfdb7ea0f1d2832c4e6442bf09c71";><code>62b8e19</code></a>
 [CLI] Install &amp; refresh the hf-cli skill (installer, update, hints) (<a 
href="https://redirect.github.com/huggingface/huggingface_hub/issues/4608";>#4608</a>)</li>
   <li>Additional commits viewable in <a 
href="https://github.com/huggingface/huggingface_hub/compare/v1.26.0...v1.27.0";>compare
 view</a></li>
   </ul>
   </details>
   <br />
   
   
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