Visual Document Retrieval
ColPali
coreai
coreai-aimodel
core-ai
apple
on-device
late-interaction
colbert
retrieval
Instructions to use mlboydaisuke/ColModernVBERT-CoreAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use mlboydaisuke/ColModernVBERT-CoreAI with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
README: add gen-cards use-it markers
Browse files
README.md
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@@ -31,6 +31,9 @@ This completes the on-device RAG trifecta alongside the text
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dense) and [Qwen3-Reranker](https://huggingface.co/mlboydaisuke/Qwen3-Reranker-0.6B-CoreAI)
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(cross-encoder): **embed → rerank → visual-retrieval**, all on device.
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## Two encoders (two graphs)
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| graph | input | output | fp16 size |
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dense) and [Qwen3-Reranker](https://huggingface.co/mlboydaisuke/Qwen3-Reranker-0.6B-CoreAI)
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(cross-encoder): **embed → rerank → visual-retrieval**, all on device.
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<!-- gen-cards:use-it begin id=colmodernvbert (managed by scripts/gen-cards — edit cards.json / QuickStart.swift, not this block) -->
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<!-- gen-cards:use-it end -->
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## Two encoders (two graphs)
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| graph | input | output | fp16 size |
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