Create README.md

README.md

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+* RUN
+
+** BERT Language Model
+
+python```
+model_path = "/language-ml-lab/iranian-azerbaijani-nlp/AzerBert/checkpoint-11630" 
+tokenizer_path = "/language-ml-lab/iranian-azerbaijani-nlp/AzerBert"
+fill_mask = pipeline("fill-mask", model=model_path, tokenizer=tokenizer_path)
+
+example = "خارجدن یئمک گتیریلمهسینه امکان وئرمیردیلر [MASK]"
+arr_example = example.split(" ")
+result = fill_mask(example, arr_example)
+
+for prediction in result:
+  print("Predicted Word: ", prediction["token_str"])
+  print(f"Final sentence: {prediction['sequence']}, confidence: {prediction['score']}")
+```