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--- |
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license: mit |
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library_name: colpali |
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base_model: vidore/colpaligemma-3b-pt-448-base |
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language: |
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- fr |
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tags: |
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- vidore |
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- vidore-experimental |
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pipeline_tag: visual-document-retrieval |
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--- |
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# Colpali_FT_fr_4bits |
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Model trained using this [script](https://github.com/catie-aq/multimodal_RAG_with_VLMs/blob/main/colpali_FT.py) on the contatenation of the data of this [collection](https://huggingface.co/collections/CATIE-AQ/french-vqa-datasets-678a607a4c08258a5212950b) |
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and this [collection](https://huggingface.co/collections/CATIE-AQ/french-retriever-datasets-678a6206c04f6a166139102c). |
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# Citation |
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```bibtex |
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@misc{faysse2024colpaliefficientdocumentretrieval, |
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title={ColPali: Efficient Document Retrieval with Vision Language Models}, |
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author={Manuel Faysse and Hugues Sibille and Tony Wu and Bilel Omrani and Gautier Viaud and Céline Hudelot and Pierre Colombo}, |
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year={2024}, |
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eprint={2407.01449}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.IR}, |
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url={https://arxiv.org/abs/2407.01449}, |
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} |
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``` |
