de-Rodrigo
/

donut-merit

@@ -1,200 +1,28 @@
----
-library_name: transformers
-tags:
-- saliency-merit
----
-# Model Card for Model ID
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+# DONUT 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 Donut architecture and fine-tuned on the Merit dataset for form understanding tasks.**
+- Backbone: [Donut](https://huggingface.co/naver-clova-ix/donut-base)
+- Training Data: [Merit](https://huggingface.co/datasets/de-Rodrigo/merit)
+## 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** 🛠️