Añadiendo README.md

README.md

@@ -1,3 +1,39 @@
----
-license: mit
----
+---
+license: mit
+datasets:
+- de-Rodrigo/merit
+language:
+- en
+- es
+base_model:
+- HuggingFaceM4/idefics2-8b
+pipeline_tag: image-text-to-text
+---
+
+# IDEFICS2 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: [Idefics2](https://huggingface.co/HuggingFaceM4/idefics2-8b)
+- Training Data: [Merit](https://huggingface.co/datasets/de-Rodrigo/merit)
+
+## Example Usage
+
+```python
+from transformers import AutoModel
+
+model = AutoModel.from_pretrained("de-Rodrigo/idefics2-merit")
+```
+**WIP** 🛠️