transformers v5.12.0 — Release v5.12.0

# 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](https://huggingface.co/docs/transformers/main/en/model_doc/minimax_m3_vl) * Add minimax m3vl (#46600) by @ArthurZucker in [#46600](https://github.com/huggingface/transformers/pull/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…