Update README.md

README.md

@@ -25,7 +25,7 @@ You can use this model directly with a pipeline for masked language modeling:
 
 ```python
 from transformers import pipeline
-model = pipeline(task="fill-mask", model="turingmachine/hupd-distilroberta-base")
+model = pipeline(task="fill-mask", model="hupd/hupd-distilroberta-base")
 model("Improved <mask> for playing a game of thumb wrestling.")
 ```
 
@@ -62,8 +62,8 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
 # cuda/cpu
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
-tokenizer = AutoTokenizer.from_pretrained("turingmachine/hupd-distilroberta-base")
-model = AutoModelForMaskedLM.from_pretrained("turingmachine/hupd-distilroberta-base").to(device)
+tokenizer = AutoTokenizer.from_pretrained("hupd/hupd-distilroberta-base")
+model = AutoModelForMaskedLM.from_pretrained("hupd/hupd-distilroberta-base").to(device)
 
 TEXT = "Improved <mask> for playing a game of thumb wrestling."