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license: mit
datasets:
- de-Rodrigo/merit
language:
- es
base_model:
- microsoft/layoutxlm-base
pipeline_tag: token-classification
---
# LayoutXLM Merit
<a href="https://x.com/nearcyan/status/1706914605262684394">
<div style="text-align: center;">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/de-Rodrigo/donut-merit/resolve/main/assets/dragon_huggingface.png">
<source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/de-Rodrigo/donut-merit/resolve/main/assets/dragon_huggingface.png">
<img alt="DragonHuggingFace" src="https://huggingface.co/de-Rodrigo/donut-merit/resolve/main/assets/dragon_huggingface.png" style="width: 200px;">
</picture>
</div>
</a>
## Model Architecture
**This model is based on the LayoutXLM architecture and fine-tuned on the Merit dataset for form understanding tasks.**
- Backbone: [LayoutXLM](https://huggingface.co/microsoft/layoutxlm-base)
- Training Data: [Merit](https://huggingface.co/datasets/de-Rodrigo/merit)
**WIP** 🛠️ |