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Update dependency torch to v2.9.0 [SECURITY]
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hypencoder/requirements.txt

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# Core ML stack. transformers must stay <5 - the Hypencoder checkpoints'
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# saved config triggers a meta-device path in transformers >=5 that
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# .from_pretrained() rejects. 4.45+ is fine.
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torch>=2.5
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torch>=2.9.0
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transformers>=4.45,<5
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# ONNX export + runtime (used both for export and for the optional INT8

reverse-image-search/script/requirements.txt

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torch>=2.5.0
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torch>=2.9.0
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transformers>=4.46.0
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torchvision>=0.20.0
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pillow>=11.0.0

visual-retrieval-colpali/src/legacy-requirements.txt

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# via scikit-learn
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tokenizers==0.20.3
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# via transformers
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torch==2.8.0
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torch==2.9.0
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# via
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# visual-retrieval-colpali (pyproject.toml)
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# accelerate

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