Update README.md

README.md

@@ -23,7 +23,35 @@ You can use this model directly with a pipeline for masked language modeling:
 
 
 ```python
-from transformers import pipeline
-unmasker = pipeline('fill-mask', model='MSRoberta')
+from transformers import pipeline,AutoModelForMaskedLM
+tokenizer = AutoTokenizer.from_pretrained("nkoh01/MSRoberta")
+model = AutoModelForMaskedLM.from_pretrained("nkoh01/MSRoberta")
+
+unmasker = pipeline(
+    "fill-mask",
+    model=model,
+    tokenizer=tokenizer
+)
 unmasker("Hello, it is a <mask> to meet you.")
+
+[{'score': 0.9508683085441589,
+  'sequence': 'hello, it is a pleasure to meet you.',
+  'token': 10483,
+  'token_str': ' pleasure'},
+ {'score': 0.015089659951627254,
+  'sequence': 'hello, it is a privilege to meet you.',
+  'token': 9951,
+  'token_str': ' privilege'},
+ {'score': 0.013942377641797066,
+  'sequence': 'hello, it is a joy to meet you.',
+  'token': 5823,
+  'token_str': ' joy'},
+ {'score': 0.006964420434087515,
+  'sequence': 'hello, it is a delight to meet you.',
+  'token': 13213,
+  'token_str': ' delight'},
+ {'score': 0.0024567877408117056,
+  'sequence': 'hello, it is a honour to meet you.',
+  'token': 6671,
+  'token_str': ' honour'}]
 ```