Instructions to use echo840/MonkeyOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MonkeyOCR
How to use echo840/MonkeyOCR with MonkeyOCR:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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@@ -41,6 +41,13 @@ MonkeyOCR adopts a Structure-Recognition-Relation (SRR) triplet paradigm, which
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MonkeyOCR currently does not support photographed documents, but we will continue to improve it in future updates. Stay tuned!
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Currently, our model is deployed on a single GPU, so if too many users upload files at the same time, issues like “This application is currently busy” may occur. We're actively working on supporting Ollama and other deployment solutions to ensure a smoother experience for more users. Additionally, please note that the processing time shown on the demo page does not reflect computation time alone—it also includes result uploading and other overhead. During periods of high traffic, this time may be longer. The inference speeds of MonkeyOCR, MinerU, and Qwen2.5 VL-7B were measured on an H800 GPU.
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## News
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* ```2025.06.05 ``` 🚀 We release MonkeyOCR, which supports the parsing of various types of Chinese and English documents.
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MonkeyOCR currently does not support photographed documents, but we will continue to improve it in future updates. Stay tuned!
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Currently, our model is deployed on a single GPU, so if too many users upload files at the same time, issues like “This application is currently busy” may occur. We're actively working on supporting Ollama and other deployment solutions to ensure a smoother experience for more users. Additionally, please note that the processing time shown on the demo page does not reflect computation time alone—it also includes result uploading and other overhead. During periods of high traffic, this time may be longer. The inference speeds of MonkeyOCR, MinerU, and Qwen2.5 VL-7B were measured on an H800 GPU.
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🚀🚀🚀 Chinese Video Tutorial (Thanks to [leo009](https://huggingface.co/leo009) for sharing!)
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https://youtu.be/T9oaqp-IaZ0
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https://www.bilibili.com/video/BV1sxKhztEx1/
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## News
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* ```2025.06.05 ``` 🚀 We release MonkeyOCR, which supports the parsing of various types of Chinese and English documents.
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