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  # BiModernVBERT
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  ## Model
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  This is the model card for `BiModernVBERT` the dense encoder version of ModernVBERT that is fine-tuned for visual document retrieval tasks.
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  trust_remote_code=True
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  )
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- # image = load_image("https://huggingface.co/spaces/HuggingFaceTB/SmolVLM/resolve/main/example_images/rococo.jpg")
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  image = Image.open(hf_hub_download("HuggingFaceTB/SmolVLM", "example_images/rococo.jpg", repo_type="space"))
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  text = "This is a text"
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  ```
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  ## Evaluation
 
 
 
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  ColModernVBERT matches the performance of models nearly 10x larger on visual document benchmarks. Additionally, it provides an interesting inference speed on CPU compared to the models of similar performance.
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  ## License
 
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  # BiModernVBERT
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+ ![bg](https://cdn-uploads.huggingface.co/production/uploads/661e945eebe3616a1b09e279/cPrlq35Qu2dUJ87XXP0qN.png)
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  ## Model
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  This is the model card for `BiModernVBERT` the dense encoder version of ModernVBERT that is fine-tuned for visual document retrieval tasks.
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  trust_remote_code=True
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  )
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  image = Image.open(hf_hub_download("HuggingFaceTB/SmolVLM", "example_images/rococo.jpg", repo_type="space"))
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  text = "This is a text"
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  ```
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  ## Evaluation
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+ ![table](https://cdn-uploads.huggingface.co/production/uploads/661e945eebe3616a1b09e279/aRwI1o3wiMQGooXaDRrdM.png)
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  ColModernVBERT matches the performance of models nearly 10x larger on visual document benchmarks. Additionally, it provides an interesting inference speed on CPU compared to the models of similar performance.
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  ## License