Update README.md

README.md

@@ -10,4 +10,31 @@ base_model:
 - openai-community/gpt2
 - openai-community/gpt2-medium
 pipeline_tag: text-generation
----
+---
+
+# GPT-2 Medium Catalan-English Model
+
+## Model Overview
+This model is a GPT-2 Medium architecture trained **from scratch**, meaning it does not inherit any weights from existing models. It has been trained using **Catalan and English** datasets, specifically **ELiRF/dacsa** and **projecte-aina/CATalog**. 
+
+## License and Usage
+This model is **free to use** under the MIT license. However, proper credit must be given when using it in research, applications, or any derived work. 
+
+## Tokenizer
+The model utilizes a **52,000-token vocabulary**, specifically trained to handle both Catalan and English efficiently. The tokenizer was designed and implemented by **Marc Hurtado**.
+
+## How to Use
+To use this model for text generation, you can load it with the `transformers` library as follows:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "your-username/test_gpt2_catalan"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+text = "Hola, com estàs?"
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model.generate(**inputs)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))