update readme

.ipynb_checkpoints/README-checkpoint.md

@@ -38,9 +38,10 @@ Train on my server, i have studied and adapted the model starting from the repos
 num decayed parameter tensors: 225, with 251,068,416 parameters<br/>
 num non-decayed parameter tensors: 65, with 49,920 parameters<br/>
 
-- To test it
+To just use the model, you can run:
 
-  ```python
+```py
+  
   # Load model directly
   from transformers import AutoTokenizer, AutoModelForCausalLM
 
@@ -63,5 +64,5 @@ num non-decayed parameter tensors: 65, with 49,920 parameters<br/>
   generated_text = tokenizer_model.decode(output[0], skip_special_tokens=True)
 
   print(generated_text)
-  ```
+```
   

README.md

@@ -38,9 +38,10 @@ Train on my server, i have studied and adapted the model starting from the repos
 num decayed parameter tensors: 225, with 251,068,416 parameters<br/>
 num non-decayed parameter tensors: 65, with 49,920 parameters<br/>
 
-- To test it
+To just use the model, you can run:
 
-  ```python
+```py
+  
   # Load model directly
   from transformers import AutoTokenizer, AutoModelForCausalLM
 
@@ -63,5 +64,5 @@ num non-decayed parameter tensors: 65, with 49,920 parameters<br/>
   generated_text = tokenizer_model.decode(output[0], skip_special_tokens=True)
 
   print(generated_text)
-  ```
+```