Bump transformers from 4.44.2 to 4.45.1

[dependabot[bot]]

Bumps transformers from 4.44.2 to 4.45.1.

Release notes

Sourced from transformers's releases.

Patch Release v4.45.1

Patches for v4.45.1

• [MllamaProcessor] Update errors and API with multiple image (#33715) by @​ArthurZucker
• Generate: can_generate() recursive check (#33718) by @​gante
• clean_up_tokenization_spaces=False if unset (#31938) by @​itazap

Llama 3.2, mllama, Qwen2-Audio, Qwen2-VL, OLMoE, Llava Onevision, Pixtral, FalconMamba, Modular Transformers

New model additions

mllama

The Llama 3.2-Vision collection of multimodal large language models (LLMs) is a collection of pretrained and instruction-tuned image reasoning generative models in 11B and 90B sizes (text + images in / text out). The Llama 3.2-Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image. The models outperform many of the available open source and closed multimodal models on common industry benchmarks.

• Add MLLama #33703, by @​qubvel, @​zucchini-nlp, @​ArthurZucker

Qwen2-VL

The Qwen2-VL is a major update from the previous Qwen-VL by the Qwen team.

An extract from the Qwen2-VL blogpost available here is as follows:

Qwen2-VL is the latest version of the vision language models based on Qwen2 in the Qwen model familities. Compared with Qwen-VL, Qwen2-VL has the capabilities of:

• SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc.
• Understanding videos of 20min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc.
• Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions.
• Multilingual Support: to serve global users, besides English and Chinese, Qwen2-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc.

• support qwen2-vl by @​simonJJJ in #32318

Qwen2-Audio

The Qwen2-Audio is the new model series of large audio-language models from the Qwen team. Qwen2-Audio is capable of accepting various audio signal inputs and performing audio analysis or direct textual responses with regard to speech instructions.

They introduce two distinct audio interaction modes:

• voice chat: users can freely engage in voice interactions with Qwen2-Audio without text input
• audio analysis: users could provide audio and text instructions for analysis during the interaction

• Add Qwen2-Audio by @​faychu in #32137

OLMoE

OLMoE is a series of Open Language Models using sparse Mixture-of-Experts designed to enable the science of language models. The team releases all code, checkpoints, logs, and details involved in training these models.

... (truncated)

Commits

• e71a01a manually fix PLBart tokenizer
• 0317895 v4.45.1
• 4ea1c43 clean_up_tokenization_spaces=False if unset (#31938)
• 289edd9 Generate: can_generate() recursive check (#33718)
• c64be31 [MllamaProcessor] Update errors and API with multiple image (#33715)
• 2ef31de Release: v4.45.0
• 19d58d3 Add MLLama (#33703)
• 94f18cf Add OmDet-Turbo (#31843)
• ade9e0f Corrected max number for bf16 in transformer/docs (#33658)
• 196d35c Add AdEMAMix optimizer (#33682)
• Additional commits viewable in compare view

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