PyTorch
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Tevatron
phi3_v
vidore
custom_code
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@@ -20,6 +20,9 @@ The model, `Tevatron/dse-phi3-docmatix-v1`, is trained using 1/10 of the `Tevatr
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  DSE has strong zero-shot effectiveness for document retrieval both with visual input and text input.
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  For example, DSE-Phi3-Docmatix-V1 achieves 74.1 nDCG@5 on [ViDoRE](https://huggingface.co/spaces/vidore/vidore-leaderboard) leaderboard in **zero-shot setting** (without finetuning with ViDoRe training data).
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  ## How to Use the Model
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  DSE has strong zero-shot effectiveness for document retrieval both with visual input and text input.
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  For example, DSE-Phi3-Docmatix-V1 achieves 74.1 nDCG@5 on [ViDoRE](https://huggingface.co/spaces/vidore/vidore-leaderboard) leaderboard in **zero-shot setting** (without finetuning with ViDoRe training data).
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+ ## How to train the model from scratch
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+ Please see https://github.com/texttron/tevatron/tree/main/examples/dse
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  ## How to Use the Model
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