ShomyLiu/pytorch_bert_elmo_example
A text classification example with Bert/ELMo/GloVe in pytorch
This helps data scientists or machine learning engineers explore different natural language processing techniques for text classification tasks. You input text data, such as movie reviews, and it outputs predictions classifying the sentiment or category of that text. This tool is for those who are building and evaluating text classification models.
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Use this if you are a data scientist or ML engineer looking to benchmark different text embedding and encoder architectures (like BERT, ELMo, GloVe with CNN or Transformer) for a text classification problem.
Not ideal if you need a production-ready, highly optimized solution or if you are not comfortable with Python and machine learning frameworks.
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Python
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Last pushed
Oct 06, 2020
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