42 lines
1.5 KiB
Markdown
42 lines
1.5 KiB
Markdown
---
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language:
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- en
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license: apache-2.0
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datasets:
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- allenai/olmOCR-mix-0225
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base_model:
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- Qwen/Qwen2.5-VL-7B-Instruct
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library_name: transformers
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new_version: allenai/olmOCR-2-7B-1025
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---
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<img alt="olmOCR Logo" src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/olmocr/olmocr.png" width="242px" style="margin-left:'auto' margin-right:'auto' display:'block'">
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# olmOCR-7B-0825
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This is a release of the olmOCR model that's fine tuned from Qwen2.5-VL-7B-Instruct using the
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[olmOCR-mix-0225](https://huggingface.co/datasets/allenai/olmOCR-mix-0225) dataset.
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Quick links:
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- 📃 [Paper](https://olmocr.allenai.org/papers/olmocr.pdf)
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- 🤗 [Dataset](https://huggingface.co/datasets/allenai/olmOCR-mix-0225)
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- 🛠️ [Code](https://github.com/allenai/olmocr)
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- 🎮 [Demo](https://olmocr.allenai.org/)
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The best way to use this model is via the [olmOCR toolkit](https://github.com/allenai/olmocr).
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The toolkit comes with an efficient inference setup via sglang that can handle millions of documents
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at scale.
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## Usage
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This model expects as input a single document image, rendered such that the longest dimension is 1288 pixels.
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The prompt must then contain the additional metadata from the document, and the easiest way to generate this
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is to use the methods provided by the [olmOCR toolkit](https://github.com/allenai/olmocr).
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## License and use
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olmOCR is licensed under the Apache 2.0 license.
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olmOCR is intended for research and educational use.
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For more information, please see our [Responsible Use Guidelines](https://allenai.org/responsible-use). |