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--- |
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library_name: transformers |
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tags: |
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- vidore |
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model-index: |
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- name: colphi3.5 |
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results: [] |
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datasets: |
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- vidore/colpali_train_set |
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base_model: |
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- microsoft/Phi-3.5-vision-instruct |
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pipeline_tag: feature-extraction |
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license: mit |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ColPhi3.5 |
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This model was trained from scratch on the data_dir/colpali_train_set dataset. |
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## Model description |
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ColPhi3.5 is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features. |
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It is a Phi3.5-V-4B extension that generates ColBERT- style multi-vector representations of text and images. |
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It was introduced in the paper ColPali: Efficient Document Retrieval with Vision Language Models. |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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