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README.md
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# **
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> **
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# Key Enhancements
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from qwen_vl_utils import process_vision_info
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model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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"prithivMLmods/
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processor = AutoProcessor.from_pretrained("prithivMLmods/
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messages = [
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{
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# **epsilon-ocr-d.markdown-post3.0.m**
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> **epsilon-ocr-d.markdown-post3.0.m** is an experimental document AI multimodal model fine tuned on top of **Qwen2.5-VL-3B-Instruct**, optimized for OCR driven document reconstruction and dynamic Markdown generation. It converts documents into structured **Markdown**, **HTML-Markdown**, and hybrid technical documentation formats with inline code adaptation. Built for efficient model scaling, it offers strong performance with reduced compute requirements.
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# Key Enhancements
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from qwen_vl_utils import process_vision_info
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model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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"prithivMLmods/epsilon-ocr-d.markdown-post3.0.m", torch_dtype="auto", device_map="auto"
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)
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processor = AutoProcessor.from_pretrained("prithivMLmods/epsilon-ocr-d.markdown-post3.0.m")
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messages = [
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{
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