build(deps-dev): bump transformers from 4.41.2 to 4.42.4 in /runtimes/huggingface

[dependabot[bot]]

Bumps transformers from 4.41.2 to 4.42.4.

Release notes

Sourced from transformers's releases.

Patch release v4.42.4

Mostly gemma2 support FA2 softcapping!

but also fix the sliding window for long context and other typos.

• [Gemma2] Support FA2 softcapping (#31887) by @​ArthurZucker
• [ConvertSlow] make sure the order is preserved for addedtokens (#31902) by @​ArthurZucker
• Fixes to alternating SWA layers in Gemma2 (#31775) by @​turboderp
• Requires for torch.tensor before casting (#31755) by @​echarlaix

Was off last week could not get this out, thanks all for your patience 🥳

Patch release v4.42.3

Make sure we have attention softcapping for "eager" GEMMA2 model

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! 😭

• Gemma capping is a must for big models (#31698)

Patch release v4.42.2

Patch release

Thanks to our 2 contributors for their prompt fixing mostly applies for training and FA2!

• Fix Gemma2 4d attention mask (#31674) by @​hiyouga
• don't zero out the attention_mask when using sliding window with flash attention (#31670) by @​winglian

v4.42.1: Patch release

Patch release for commit:

• [HybridCache] Fix get_seq_length method (#31661)

v4.42.0: Gemma 2, RTDETR, InstructBLIP, LLAVa Next, New Model Adder

New model additions

Gemma-2

The Gemma2 model was proposed in Gemma2: Open Models Based on Gemini Technology and Research by Gemma2 Team, Google. Gemma2 models are trained on 6T tokens, and released with 2 versions, 2b and 7b.

The abstract from the paper is the following:

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

• Add gemma 2 by @​ArthurZucker in #31659

RTDETR

... (truncated)

Commits

• fc35907 v4.42.4
• e002fcd [Gemma2] Support FA2 softcapping (#31887)
• 2e43416 [ConvertSlow] make sure the order is preserved for addedtokens (#31902)
• c43fd9d Fixes to alternating SWA layers in Gemma2 (#31775)
• 0be998b Requires for torch.tensor before casting (#31755)
• b7ee1e8 v4.42.3
• da50b41 Gemma capping is a must for big models (#31698)
• 086c74e v4.42.2
• 8691867 Fix Gemma2 4d attention mask (#31674)
• 7edc993 don't zero out the attention_mask when using sliding window with flash attent...
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