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# DONUT Merit |
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<a href="https://x.com/nearcyan/status/1706914605262684394"> |
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<div style="text-align: center;"> |
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<picture> |
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<source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/de-Rodrigo/donut-merit/resolve/main/assets/dragon_huggingface.png"> |
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<source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/de-Rodrigo/donut-merit/resolve/main/assets/dragon_huggingface.png"> |
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<img alt="DragonHuggingFace" src="https://huggingface.co/de-Rodrigo/donut-merit/resolve/main/assets/dragon_huggingface.png" style="width: 200px;"> |
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</picture> |
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</div> |
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</a> |
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## Model Architecture |
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**This model is based on the Donut architecture and fine-tuned on the Merit dataset for form understanding tasks.** |
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- Backbone: [Donut](https://huggingface.co/naver-clova-ix/donut-base) |
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- Training Data: [Merit](https://huggingface.co/datasets/de-Rodrigo/merit) |
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## Example Usage |
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```python |
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from transformers import AutoProcessor, AutoModel |
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processor = AutoProcessor.from_pretrained("de-Rodrigo/donut-merit") |
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model = AutoModel.from_pretrained("de-Rodrigo/donut-merit") |
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``` |
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**WIP** 🛠️ |
