Añadiendo README.md

README.md

@@ -4,13 +4,12 @@ datasets:
 - de-Rodrigo/merit
 language:
 - en
-- es
 base_model:
-- HuggingFaceM4/idefics2-8b
-pipeline_tag: image-text-to-text
+- microsoft/layoutlmv2-base-uncased
+pipeline_tag: token-classification
 ---
 
-# IDEFICS2 Merit
+# LayoutLMv2 Merit
 
 <a href="https://x.com/nearcyan/status/1706914605262684394">
   <div style="text-align: center;">
@@ -26,14 +25,7 @@ pipeline_tag: image-text-to-text
 ## 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)
+- Backbone: [LayoutLMv2](https://huggingface.co/microsoft/layoutlmv2-base-uncased)
 - 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** 🛠️