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typhoon-ocr-finetuned-v1.x

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Adun commited on 29 days ago

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Upload app.py

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@@ -338,7 +338,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 value="Adun/typhoon_ocr-7B-v1.4"
             )
-           gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/Adun/Multimodal-OCR2/discussions)")
             # gr.Markdown("> [SmolDocling-256M](https://huggingface.co/ds4sd/SmolDocling-256M-preview): SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with Docling through seamless support for DoclingDocuments.")
             # gr.Markdown("> [Nanonets-OCR-s](https://huggingface.co/nanonets/Nanonets-OCR-s): nanonets-ocr-s is a powerful, state-of-the-art image-to-markdown ocr model that goes far beyond traditional text extraction. it transforms documents into structured markdown with intelligent content recognition and semantic tagging.")

                 value="Adun/typhoon_ocr-7B-v1.4"
             )
+            gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/Adun/typhoon-ocr-finetuned-v1.x/discussions)")
             # gr.Markdown("> [SmolDocling-256M](https://huggingface.co/ds4sd/SmolDocling-256M-preview): SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with Docling through seamless support for DoclingDocuments.")
             # gr.Markdown("> [Nanonets-OCR-s](https://huggingface.co/nanonets/Nanonets-OCR-s): nanonets-ocr-s is a powerful, state-of-the-art image-to-markdown ocr model that goes far beyond traditional text extraction. it transforms documents into structured markdown with intelligent content recognition and semantic tagging.")