build(deps): bump colpali-engine from 0.3.10 to 0.3.12

[dependabot]

Bumps colpali-engine from 0.3.10 to 0.3.12.

Release notes

Sourced from colpali-engine's releases.

v0.3.12

[0.3.12] - 2025-07-16

Added

• Video processing for ColQwen-Omni

Fixed

• Fixed loading of PaliGemma and ColPali checkpoints (bug introduced in transformers 4.52)
• Fixed loading of SmolVLM (Idefics3) processors that didn't transmit image_seq_len (bug introduced in transformers 4.52)

v0.3.11

[0.3.11] - 2025-07-04

Added

• Added BiIdefics3 modeling and processor.
• [Breaking] (minor) Remove support for context-augmented queries and images
• Uniform processor docstring
• Update the collator to align with the new function signatures
• Add a process_text method to replace the process_query one. We keep support of the last one for the moment, but we'll deprecate it later
• Introduce the ColPaliEngineDataset and Corpus class. This is to delegate all data loading to a standard format before training. The concept is for users to override the dataset class if needed for their specific usecases.
• Added smooth_max option to loss functions
• Added weighted in_batch terms for losses with hard negatives
• Added an option to filter out (presumably) false negatives during online training
• Added a training script in pure torch without the HF trainer
• Added a sampler to train with multiple datasets at once, with each batch coming from the same source. (experimental, might still need testing on multi-GPU)
• Adds score normalization to LI models (diving by token length) for betetr performance with CE loss
• Add experimental PLAID support

Changed

• Stops pooling queries between GPUs and instead pools only documents, enabling training with way bigger batch sizes. We recomment training with accelerate launch now.
• Updated loss functions for better abstractions and coherence between the various loss functions. Small speedups and less memory requirements.

Changelog

Sourced from colpali-engine's changelog.

[0.3.12] - 2025-07-16

Added

• Video processing for ColQwen-Omni

Fixed

• Fixed loading of PaliGemma and ColPali checkpoints (bug introduced in transformers 4.52)
• Fixed loading of SmolVLM (Idefics3) processors that didn't transmit image_seq_len (bug introduced in transformers 4.52)

[0.3.11] - 2025-07-04

Added

• Added BiIdefics3 modeling and processor.
• [Breaking] (minor) Remove support for context-augmented queries and images
• Uniform processor docstring
• Update the collator to align with the new function signatures
• Add a process_text method to replace the process_query one. We keep support of the last one for the moment, but we'll deprecate it later
• Introduce the ColPaliEngineDataset and Corpus class. This is to delegate all data loading to a standard format before training. The concept is for users to override the dataset class if needed for their specific usecases.
• Added smooth_max option to loss functions
• Added weighted in_batch terms for losses with hard negatives
• Added an option to filter out (presumably) false negatives during online training
• Added a training script in pure torch without the HF trainer
• Added a sampler to train with multiple datasets at once, with each batch coming from the same source. (experimental, might still need testing on multi-GPU)
• Adds score normalization to LI models (diving by token length) for betetr performance with CE loss
• Add experimental PLAID support

Changed

• Stops pooling queries between GPUs and instead pools only documents, enabling training with way bigger batch sizes. We recomment training with accelerate launch now.
• Updated loss functions for better abstractions and coherence between the various loss functions. Small speedups and less memory requirements.

Commits

• 97e389a changelog
• aaf26a0 chore(deps): update peft requirement (#303)
• 1e04a2d chore(deps): update pillow requirement (#302)
• 1e4b6bf Qwen video (#310)
• cc61c4b hotfix bipali
• f7c262d fix: allow tensors as entry of the single vec scoring func (#309)
• a89592a ColQwenOmni fix (#308)
• 5e7c695 update readme
• deb4c91 changelog
• 2b13e31 fix smolvlm (#307)
• Additional commits viewable in compare view

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