Update README.md

README.md

@@ -19,25 +19,9 @@ You can use this model directly with a pipeline for masked language modeling:
 
 ```python
 >>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='kz-transformers/kaz-roberta-conversational')
->>> unmasker("Hello I'm a <mask> model.")
-
-
-
-Here is how to use this model to get the features of a given text in PyTorch:
-
-```python
-from transformers import AutoTokenizer, AutoModelForMaskedLM
-
-tokenizer = AutoTokenizer.from_pretrained("kz-transformers/kaz-roberta-conversational")
-model = AutoModelForMaskedLM.from_pretrained("kz-transformers/kaz-roberta-conversational")
-
-# prepare input
-text = "Replace me by any text you'd like."
-encoded_input = tokenizer(text, return_tensors='pt')
-
-# forward pass
-output = model(**encoded_input)
+>>> pipe = pipeline('fill-mask', model='kz-transformers/kaz-roberta-conversational')
+>>> pipe("Абай Құнанбайұлының көзқарастары терең білінген еңбегі — <mask> сөздері.")
 ```
 
+
 ### BibTeX entry and citation info