Update README.md

README.md

@@ -74,9 +74,10 @@ widget:
 
 ### Loss Function through Epochs 📉
 <p align="center">
-  <img src="https://cdn-uploads.huggingface.co/production/uploads/6419c2f6b4adb0e101b17b6c/vufJ_u_5ZrdzNcSrqwjBx.png" alt="Loss Function Graph" width="500">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/6419c2f6b4adb0e101b17b6c/AYLICPk_dvjML0DI2gBVY.png" alt="Loss Function Graph" width="700">
 </p>
 
+
 ## Uses 🛠️
 
 The Gemma-FULL-RAC-Colombia model is designed to enhance the understanding and application of the Colombian Aeronautical Regulations (RAC) through natural language processing. It's tailored for professionals and enthusiasts in the aviation industry, regulatory agencies, legal experts, and AI researchers with an interest in domain-specific language model applications.
@@ -106,7 +107,7 @@ Users should verify model outputs against current regulations and consult with p
 ```python
 # Assuming Hugging Face's Transformers and Datasets are installed
 from transformers import AutoModelForCausalLM, AutoTokenizer
-model_name = "somosnlp/gemma-FULL-RAC-Colombia"
+model_name = "ejbejaranos/gemma-FULL-RAC-Colombia_v2"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 # Example usage