24 lines
885 B
Markdown
24 lines
885 B
Markdown
# pytorch-pretrained-BERT
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A PyTorch version of Google's pretrained BERT model as described in
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No bells and whitles, just:
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- [one class](bert_model.py) with a clean commented version of Google's BERT model that can load the weights pre-trained by Google's authors,
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- [another class](data_processor.py) with all you need to pre- and post-process text data for the model (tokenize and encode),
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- and [a script](download_weigths.sh) to download Google's pre-trained weights.
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Here is how to use these:
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```python
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from .bert_model import BERT
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from .data_processor import DataProcessor
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bert_model = BERT(bert_model_path='.')
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data_processor = DataProcessor(bert_vocab_path='.')
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input_sentence = "We are playing with the BERT model."
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tensor_input = data_processor.encode(input_sentence)
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tensor_output = bert_model(prepared_input)
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output_sentence = data_processor.decode(tensor_output)
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```
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