update

architectures/codeparrot.txt

@@ -3,4 +3,26 @@
 |Model | # parameters | 
 |   -   |   -  | 
 | GPT2 | 110M |
-| GPT2 | 1.5B |
+| GPT2 | 1.5B |
+
+You can load the model and tokenizer directly from the `transformers`:
+
+```python
+from transformers import AutoTokenizer, AutoModelWithLMHead
+  
+tokenizer = AutoTokenizer.from_pretrained("lvwerra/codeparrot")
+model = AutoModelWithLMHead.from_pretrained("lvwerra/codeparrot")
+
+inputs = tokenizer("def hello_world():", return_tensors="pt")
+outputs = model(**inputs)
+
+```
+
+Or you can use a pipeline
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="lvwerra/codeparrot")
+outputs = pipe("def hello_world():")
+```