Update README.md

README.md

@@ -48,7 +48,7 @@ This model can be used as-is for masked token prediction in C++ and Erlang codeb
 ```python
 from transformers import pipeline
 
-fill = pipeline("fill-mask", model="<your-model-id>")
+fill = pipeline("fill-mask", model="MatthewsO3/GraphCode-CErl-base")
 fill("int <mask> = 0;")
 ```
 
@@ -84,7 +84,7 @@ from transformers import RobertaTokenizer, RobertaForMaskedLM
 import torch
 
 tokenizer = RobertaTokenizer.from_pretrained("microsoft/graphcodebert-base")
-model = RobertaForMaskedLM.from_pretrained("<your-model-id>")
+model = RobertaForMaskedLM.from_pretrained("MatthewsO3/GraphCode-CErl-base")
 
 code = "int <mask> = 42;"
 inputs = tokenizer(code, return_tensors="pt")