| # DONUT Cord-v2 | |
| <a href="https://x.com/nearcyan/status/1706914605262684394"> | |
| <div style="text-align: center;"> | |
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| <source media="(prefers-color-scheme: dark)" srcset="assets/dragon_huggingface.png"> | |
| <source media="(prefers-color-scheme: light)" srcset="assets/dragon_huggingface.png"> | |
| <img alt="Descripción de la imagen" src="assets/dragon_huggingface.png" style="width: 200px;"> | |
| </picture> | |
| </div> | |
| </a> | |
| ## Model Architecture | |
| **This model is based on the Donut architecture and fine-tuned on the Cord-v2 dataset for form understanding tasks.** | |
| - Backbone: [Donut](https://huggingface.co/models) | |
| - Training Data: [Cord-v2](https://huggingface.co/datasets/naver-clova-ix/cord-v2) | |
| ## Example Usage | |
| ```python | |
| from transformers import AutoProcessor, AutoModel | |
| processor = AutoProcessor.from_pretrained("de-Rodrigo/donut-merit") | |
| model = AutoModel.from_pretrained("de-Rodrigo/donut-merit") | |
| ``` | |
| **WIP** 🛠️ |