Bump transformers from 4.52.4 to 5.12.1

[dependabot]

Bumps transformers from 4.52.4 to 5.12.1.

Release notes

Sourced from transformers's releases.

Patch release v5.12.1

Updated the lower bound for PEFT and a fix for auto tokenizer to properly resolve the mistral tokenizer (when mistral-common is installed). This is similar to v.5.10.3 minus the fixes that were already included in the main release - vLLM will first target 5.10.3 🤗

• Fix peft lower bound #46605 by @​hmellor (#46605)
• mistral common backend fix #46667 by @​itazap (#46667)

Full Changelog: huggingface/transformers@v5.12.0...v5.12.1

Patch release v5.10.3

A few fixes needed for vLLM to sync with transformers 🤗

• [fix] regression introduced by #45534 #46456 by @​eustlb (#46456)
• Fix {image/video/audio}_token_ids in ProcessorMixin #46500 by @​hmellor (#46500)
• Fix InternVL models #46524 by @​hmellor (#46524)
• Fix the offsets in processing #46525 by @​zucchini-nlp (#46525)
• Fix peft lower bound #46605 by @​hmellor (#46605)
• mistral common backend fix #46667 by @​itazap (#46667)

Full Changelog: huggingface/transformers@v5.10.2...v5.10.3

Release v5.12.0

New Model additions

MiniMax-M3-VL

MiniMax-M3-VL is the vision-language member of the MiniMax-M3 family that pairs a CLIP-style vision tower with 3D rotary position embeddings with the MiniMax-M3 text backbone. It uses a mixed dense/sparse Mixture-of-Experts decoder with SwiGLU-OAI gated experts and a lightning indexer for block-sparse attention. The model processes images through a Conv3d patch embedding system and includes specialized components for efficient multimodal understanding and generation.

Links: Documentation

• Add minimax m3vl (#46600) by @​ArthurZucker in #46600

PP-OCRv6: update documentation and slow tests (#46576)

The official weights for PP-OCRv6 are out: PP-OCRv6 is a lightweight OCR system that combines architectural innovation with data-centric optimization. It redesigns the backbone, detection neck, and recognition neck around a unified MetaFormer-style building block with structural reparameterization. Three model tiers (medium, small, tiny) share the same block primitives, covering deployment scenarios from server to edge.

• PP-OCRv6: update documentation and slow tests (#46576) by @ zhang-prog

Add Parakeet-RNNT (#46331)

ParakeetForRNNT: a Fast Conformer Encoder + an RNN-T (RNN Transducer) decoder

... (truncated)

Commits

• ddb849a v5.12.1
• d81db16 mistral common backend fix (#46667)
• 07c294c Fix peft lower bound (#46605)
• e0e7504 Revert "fix security issue with allow all kernels"
• 7904f30 fix security issue with allow all kernels
• d77d573 fix kernel path
• f7999c7 v5.12.0
• 4c5d4fd Add minimax m3vl (#46600)
• 5957e6f [CI] capture checkers output in OTEL (#46601)
• 2d68208 Lfm2: thread seq_idx through ShortConv for packed/varlen inputs (#46588)
• Additional commits viewable in compare view

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