Update README.md

README.md

@@ -42,8 +42,8 @@ You can jump right in and use this model for masked language modeling! 🧩
 from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
 
 # Load the model and tokenizer
-model = AutoModelWithLMHead.from_pretrained("ashen/AshenBERTo")
-tokenizer = AutoTokenizer.from_pretrained("ashen/AshenBERTo")
+model = AutoModelWithLMHead.from_pretrained("ashenR/AshenBERTo")
+tokenizer = AutoTokenizer.from_pretrained("ashenR/AshenBERTo")
 
 # Create a fill-mask pipeline
 fill_mask = pipeline('fill-mask', model=model, tokenizer=tokenizer)