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@@ -14,6 +14,28 @@ pipeline_tag: visual-document-retrieval
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  ![bg](https://cdn-uploads.huggingface.co/production/uploads/661e945eebe3616a1b09e279/4NJs0KkWDwnH5YJVtpwQG.png)
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  ## Model
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  This is the model card for `ModernVBERT-embed` the dense encoder version of ModernVBERT not specialised on any tasks, made for general image encoding tasks.
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  ![bg](https://cdn-uploads.huggingface.co/production/uploads/661e945eebe3616a1b09e279/4NJs0KkWDwnH5YJVtpwQG.png)
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+ > [!WARNING]
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+ >🚨 **Migration guide to official `transformers` modeling**
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+ >
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+ >ModernVBERT is part of `transformers` since v5.3.0!
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+ >
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+ >This becomes the official modeling for the model.
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+ >
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+ >If you have a model based on the initial modeling, you can adapt the weigths to the new format supported by `transformers`.
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+ >We provide a conversion script in this repo, you simply need to run:
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+ >
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+ >```bash
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+ >python convert_model_weights.py \
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+ > /path/to/legacy-modernvbert \
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+ > /path/to/converted-modernvbert \
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+ >```
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+ >
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+ >The converted model:
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+ >- merges the split token embedding tables
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+ >- rewrites `model.connector.modality_projection.proj.weight`
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+ >- nests `model.vision_model...` under `model.vision_model.vision_model...`
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+
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+
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  ## Model
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  This is the model card for `ModernVBERT-embed` the dense encoder version of ModernVBERT not specialised on any tasks, made for general image encoding tasks.
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