Update README.md

README.md

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 ## Model Summary
 
-TFT-ID (Table/Figure/Text IDentifier) is an object detection model finetuned to extract tables, figures, and text sections in academic papers created by [Yifei Hu](https://x.com/hu_yifei). 
+TB-OCR-preview (Text Block OCR), created by [Yifei Hu](https://x.com/hu_yifei), is an end-to-end OCR model handling text, math latex, and markdown formats all at once. The model takes a block of text as the input and returns clean markdown output. Headers are marked with `##`. Math expressions are guaranteed to be wrapped in brackets `\( inline math \) \[ display math \]` for easier parsing. This model does not require line-detection or math formula detection. 
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+**Running the model in 4-bit only requires ~2.8GB VRAM to load and exhibits little to none degradation.**
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+This model is recommended to work with **TFT-ID-1.0**[[HF]](https://huggingface.co/yifeihu/TFT-ID-1.0), a text/tale/figure detection model, for full page document parsing.
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+![image/png](https://huggingface.co/yifeihu/TB-OCR-preview-0.1/resolve/main/tb-ocr-cover.png)
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+## Sample Usage
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