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@@ -21,8 +21,10 @@ This model is a fine-tuned version of [microsoft/Florence-2-large-ft](https://hu
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7601
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- [microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) can detect various objects in a zero-shot setting with the task prompt "\<OD\>". Please check [Florence-2-large sample inference](https://huggingface.co/microsoft/Florence-2-large/blob/main/sample_inference.ipynb) However, the ft-base model is not able to detect tables on a given image.
 
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  The following Colab notebook showcases how you can finetune the model with your custom data to detect objects.
 
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  [Florence2-Object Detection-Finetuning-HF-Trainer.ipynb](https://colab.research.google.com/drive/1Y8GVjwzBIgfmfD3ZypDX5H1JA_VG0YDL?usp=sharing)
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  ## Model description
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7601
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+ [microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) can detect various objects in zero-shot setting with the task prompt "\<OD\>". Please check [Florence-2-large sample inference](https://huggingface.co/microsoft/Florence-2-large/blob/main/sample_inference.ipynb) However, the ft-base model is not able to detect tables on a given image.
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  The following Colab notebook showcases how you can finetune the model with your custom data to detect objects.
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  [Florence2-Object Detection-Finetuning-HF-Trainer.ipynb](https://colab.research.google.com/drive/1Y8GVjwzBIgfmfD3ZypDX5H1JA_VG0YDL?usp=sharing)
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  ## Model description