Update README.md

README.md

@@ -117,8 +117,8 @@ The authors provide additionally notes about the training procedure used, in the
 ```
 from transformers import TransfoXLTokenizer, TransfoXLModel
 import torch
-tokenizer = TransfoXLTokenizer.from_pretrained("zpbrent/test")
-model = TransfoXLModel.from_pretrained("zpbrent/test")
+tokenizer = TransfoXLTokenizer.from_pretrained("zpbrent/newInfect")
+model = TransfoXLModel.from_pretrained("zpbrent/newInfect")
 inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
 outputs = model(**inputs)
 last_hidden_states = outputs.last_hidden_state