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