build(deps): bump transformers from 4.41.2 to 4.42.3 (#883)

Bumps [transformers](https://github.com/huggingface/transformers) from
4.41.2 to 4.42.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/huggingface/transformers/releases">transformers's
releases</a>.</em></p>
<blockquote>
<h2>Patch release v4.42.3</h2>
<h1>Make sure we have attention softcapping for &quot;eager&quot; GEMMA2
model</h1>
<p>After experimenting, we noticed that for the 27b model mostly,
softcapping is a must. So adding it back (it should have been there, but
an error on my side made it disappear) sorry all! 😭</p>
<ul>
<li>Gemma capping is a must for big models (<a
href="https://redirect.github.com/huggingface/transformers/issues/31698">#31698</a>)</li>
</ul>
<h2>Patch release v4.42.2</h2>
<h1>Patch release</h1>
<p>Thanks to our 2 contributors for their prompt fixing mostly applies
for training and FA2!</p>
<ul>
<li>Fix Gemma2 4d attention mask (<a
href="https://redirect.github.com/huggingface/transformers/issues/31674">#31674</a>)
by <a href="https://github.com/hiyouga"><code>@​hiyouga</code></a></li>
<li>don't zero out the attention_mask when using sliding window with
flash attention (<a
href="https://redirect.github.com/huggingface/transformers/issues/31670">#31670</a>)
by <a
href="https://github.com/winglian"><code>@​winglian</code></a></li>
</ul>
<h2>v4.42.1: Patch release</h2>
<p>Patch release for commit:</p>
<ul>
<li>[HybridCache] Fix get_seq_length method (<a
href="https://redirect.github.com/huggingface/transformers/issues/31661">#31661</a>)</li>
</ul>
<h2>v4.42.0: Gemma 2, RTDETR, InstructBLIP, LLAVa Next, New Model
Adder</h2>
<h2>New model additions</h2>
<h3>Gemma-2</h3>
<p>The Gemma2 model was proposed in <a
href="https://blog.google/technology/developers/Gemma2-open-models/">Gemma2:
Open Models Based on Gemini Technology and Research</a> by Gemma2 Team,
Google.
Gemma2 models are trained on 6T tokens, and released with 2 versions, 2b
and 7b.</p>
<p>The abstract from the paper is the following:</p>
<p><em>This work introduces Gemma2, a new family of open language models
demonstrating strong performance across academic benchmarks for language
understanding, reasoning, and safety. We release two sizes of models (2
billion and 7 billion parameters), and provide both pretrained and
fine-tuned checkpoints. Gemma2 outperforms similarly sized open models
on 11 out of 18 text-based tasks, and we present comprehensive
evaluations of safety and responsibility aspects of the models,
alongside a detailed description of our model development. We believe
the responsible release of LLMs is critical for improving the safety of
frontier models, and for enabling the next wave of LLM
innovations</em></p>
<p><img
src="https://github.com/huggingface/transformers/assets/30755778/798b25f4-485a-4b60-abe5-af612def209b"
alt="image" /></p>
<ul>
<li>Add gemma 2 by <a
href="https://github.com/ArthurZucker"><code>@​ArthurZucker</code></a>
in <a
href="https://redirect.github.com/huggingface/transformers/issues/31659">#31659</a></li>
</ul>
<h3>RTDETR</h3>
<p>The RT-DETR model was proposed in <a
href="https://arxiv.org/abs/2304.08069">DETRs Beat YOLOs on Real-time
Object Detection</a> by Wenyu Lv, Yian Zhao, Shangliang Xu, Jinman Wei,
Guanzhong Wang, Cheng Cui, Yuning Du, Qingqing Dang, Yi Liu.</p>
<p>RT-DETR is an object detection model that stands for “Real-Time
DEtection Transformer.” This model is designed to perform object
detection tasks with a focus on achieving real-time performance while
maintaining high accuracy. Leveraging the transformer architecture,
which has gained significant popularity in various fields of deep
learning, RT-DETR processes images to identify and locate multiple
objects within them.</p>
<p><img
src="https://github.com/huggingface/transformers/assets/30755778/78b096d4-2686-41cb-9fdd-1cd517722fd3"
alt="image" /></p>
<ul>
<li>New model support RTDETR by <a
href="https://github.com/SangbumChoi"><code>@​SangbumChoi</code></a> in
<a
href="https://redirect.github.com/huggingface/transformers/issues/29077">#29077</a></li>
</ul>
<h3>InstructBlip</h3>
<p>The InstructBLIP model was proposed in <a
href="https://arxiv.org/abs/2305.06500">InstructBLIP: Towards
General-purpose Vision-Language Models with Instruction Tuning</a> by
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao,
Weisheng Wang, Boyang Li, Pascale Fung, Steven Hoi. InstructBLIP
leverages the <a
href="https://huggingface.co/docs/transformers/main/en/model_doc/blip2">BLIP-2</a>
architecture for visual instruction tuning.</p>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/transformers/commit/b7ee1e80b912c6cdd93b54dd77af061fde151d28"><code>b7ee1e8</code></a>
v4.42.3</li>
<li><a
href="https://github.com/huggingface/transformers/commit/da50b41a272724dba0821d643a44dfebb23e3786"><code>da50b41</code></a>
Gemma capping is a must for big models (<a
href="https://redirect.github.com/huggingface/transformers/issues/31698">#31698</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/086c74efdf98b4e64ac40863ce190144316873a5"><code>086c74e</code></a>
v4.42.2</li>
<li><a
href="https://github.com/huggingface/transformers/commit/869186743da66563d07ea8ea81ebfc88bbf5139c"><code>8691867</code></a>
Fix Gemma2 4d attention mask (<a
href="https://redirect.github.com/huggingface/transformers/issues/31674">#31674</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/7edc9931c52d9de22d2c569122dfc3d927fd280e"><code>7edc993</code></a>
don't zero out the attention_mask when using sliding window with flash
attent...</li>
<li><a
href="https://github.com/huggingface/transformers/commit/e3cb841ca8b8735193ce912e6cf42f413cefa87c"><code>e3cb841</code></a>
v4.42.1</li>
<li><a
href="https://github.com/huggingface/transformers/commit/b2455e5b811c91e51aca70d8d4f9a79934af7052"><code>b2455e5</code></a>
[HybridCache] Fix <code>get_seq_length</code> method (<a
href="https://redirect.github.com/huggingface/transformers/issues/31661">#31661</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/6c1d0b069de22d7ed8aa83f733c25045eea0585d"><code>6c1d0b0</code></a>
Release: v4.42.0</li>
<li><a
href="https://github.com/huggingface/transformers/commit/69b0f44b812425fbe83bdb0f00f610b7f69e476a"><code>69b0f44</code></a>
Add gemma 2 (<a
href="https://redirect.github.com/huggingface/transformers/issues/31659">#31659</a>)</li>
<li><a
href="https://github.com/huggingface/transformers/commit/be50a0338b9d7b76448fcc9c5046a78118a4d968"><code>be50a03</code></a>
change anchor_image_size None for compatibility (<a
href="https://redirect.github.com/huggingface/transformers/issues/31640">#31640</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/huggingface/transformers/compare/v4.41.2...v4.42.3">compare
view</a></li>
</ul>
</details>
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