Bump transformers from 4.48.1 to 4.48.2 #2170
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body: '{"body":"Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.1 to 4.48.2.\\n<details>\\n<summary>Release notes</summary>\\n<p><em>Sourced from <a href=\\"https://github.com/huggingface/transformers/releases\\">transformers\'s releases</a>.</em></p>\\n<blockquote>\\n<h1>Patch release v4.48.2</h1>\\n<p>Sorry because the fixes for <code>num_items_in_batches</code> are not done yet 😓 To follow along see this <a href=\\"https://redirect.github.com/huggingface/transformers/pull/35875\\">PR</a>, a new patch will be available soon!</p>\\n<p>Now, we mostly had BC issue with python version 3.9:</p>\\n<ul>\\n<li>Restore is_torch_greater_or_equal_than for backward compatibility (<a href=\\"https://redirect.github.com/huggingface/transformers/issues/35734\\">#35734</a>) by <a href=\\"https://github.com/tlrmchlsmth\\"><code>@tlrmchlsmth</code></a></li>\\n<li>Fix NoneType type as it requires py>=3.10 (<a href=\\"https://redirect.github.com/huggingface/transformers/issues/35843\\">#35843</a>) by <a href=\\"https://github.com/SunMarc\\"><code>@SunMarc</code></a></li>\\n</ul>\\n<p>Then we had a small regression for DBRX saving:</p>\\n<ul>\\n<li>Fix: loading DBRX back from saved path (<a href=\\"https://redirect.github.com/huggingface/transformers/issues/35728\\">#35728</a>) by <a href=\\"https://github.com/zucchini-nlp\\"><code>@zucchini-nlp</code></a></li>\\n</ul>\\n<p>Finally we have a fix for gemma and the hybrid attention architectures:</p>\\n<ul>\\n<li>Fix mask slicing for models with HybridCache <a href=\\"https://redirect.github.com/huggingface/transformers/issues/35681\\">#35681</a> by <a href=\\"https://github.com/Cyrilvallez\\"><code>@Cyrilvallez</code></a></li>\\n</ul>\\n<p>Miscellaneous:</p>\\n<ul>\\n<li>Fix is_causal being a tensor (<a href=\\"https://redirect.github.com/huggingface/transformers/issues/35791\\">#35791</a>)
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