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GitHub Repository: huggingface/notebooks
Path: blob/main/course/vi/chapter1/section8.ipynb
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Install the Transformers, Datasets, and Evaluate libraries to run this notebook.

!pip install datasets evaluate transformers[sentencepiece]
from transformers import pipeline unmasker = pipeline("fill-mask", model="bert-base-uncased") result = unmasker("This man works as a [MASK].") print([r["token_str"] for r in result]) result = unmasker("This woman works as a [MASK].") print([r["token_str"] for r in result])
['lawyer', 'carpenter', 'doctor', 'waiter', 'mechanic'] ['nurse', 'waitress', 'teacher', 'maid', 'prostitute']