Update

README.md

@@ -22,20 +22,17 @@ non-commercial use. For any users seeking commercial use of our model and genera
 
 ```
 >>> from transformers import (
-        RoFormerForMaskedLM, 
+        RoFormerModel,
         RoFormerTokenizer, 
-        pipeline, 
         RoFormerForSequenceClassification
     )
 >>> tokenizer = RoFormerTokenizer.from_pretrained("alchemab/antiberta2")
->>> model = RoFormerForMaskedLM.from_pretrained("alchemab/antiberta2")
-
->>> filler = pipeline(model=model, tokenizer=tokenizer)
->>> filler("Ḣ Q V Q ... C A [MASK] D ... T V S S") # fill in the mask
+>>> model = RoFormerModel.from_pretrained("alchemab/antiberta2")
+>>> model(**tokenizer("Ḣ Q V Q ... T V S S", return_tensors='pt')).last_hidden_state... # etc
 
 >>> new_model = RoFormerForSequenceClassification.from_pretrained(
-            "alchemab/antiberta2") # this will of course raise warnings 
-                                   # that a new linear layer will be added 
-                                   # and randomly initialized
+            "alchemab/antiberta2-cssp") # this will of course raise warnings 
+                                        # that a new linear layer will be added 
+                                        # and randomly initialized
 
 ```