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---
language:
- en
---
# RUN
## BERT Language Model
```python
from transformers import pipeline
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']}")
``` |