Bump transformers from 4.45.1 to 4.46.1

[dependabot]

Bumps transformers from 4.45.1 to 4.46.1.

Release notes

Sourced from transformers's releases.

Patch release v4.46.1

Patch release v4.4.61

This is mostly for fx and onnx issues!

** Fix regression loading dtype #34409 by @​SunMarc ** LLaVa: latency issues #34460 by @​zucchini-nlp ** Fix pix2struct #34374 by @​IlyasMoutawwakil ** Fix onnx non-exposable inplace aten op #34376 by @​IlyasMoutawwakil ** Fix torch.fx issue related to the new loss_kwargs keyword argument #34380 by @​michaelbenayoun

Release v4.46.0

New model additions

Moshi

The Moshi model was proposed in Moshi: a speech-text foundation model for real-time dialogue by Alexandre Défossez, Laurent Mazaré, Manu Orsini, Amélie Royer, Patrick Pérez, Hervé Jégou, Edouard Grave and Neil Zeghidour.

Moshi is a speech-text foundation model that casts spoken dialogue as speech-to-speech generation. Starting from a text language model backbone, Moshi generates speech as tokens from the residual quantizer of a neural audio codec, while modeling separately its own speech and that of the user into parallel streams. This allows for the removal of explicit speaker turns, and the modeling of arbitrary conversational dynamics. Moshi also predicts time-aligned text tokens as a prefix to audio tokens. This “Inner Monologue” method significantly improves the linguistic quality of generated speech and provides streaming speech recognition and text-to-speech. As a result, Moshi is the first real-time full-duplex spoken large language model, with a theoretical latency of 160ms, 200ms in practice.

• Moshi integration by @​ylacombe in #33624

Zamba

Zamba-7B-v1 is a hybrid between state-space models (Specifically Mamba) and transformer, and was trained using next-token prediction. Zamba uses a shared transformer layer after every 6 mamba blocks. It uses the Mistral v0.1 tokenizer. We came to this architecture after a series of ablations at small scales. Zamba-7B-v1 was pre-trained on 1T tokens of text and code data.

• Add Zamba by @​pglorio in #30950

GLM

The GLM Model was proposed in ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools by GLM Team, THUDM & ZhipuAI.

The abstract from the paper starts with the following:

... (truncated)

Commits

• bc598c0 v4.41.1
• 94ed13c Fix regression loading dtype (#34409)
• 72c716d LLaVA: latency issues (#34460)
• 97bb929 Fix pix2struct (#34374)
• 565f0e9 Fix onnx non-expotable inplace aten op (#34376)
• dcfe3c7 Fix torch.fx issue related to the new loss_kwargs keyword argument (#34380)
• c2820c9 fix list 3.8
• b298161 v4.46.0
• b0f0c61 Add SynthID (watermerking by Google DeepMind) (#34350)
• e50bf61 Fix red CI: benchmark script (#34351)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #619.