zhanlaoban/Transformers_for_Text_Classification
基于Transformers的文本分类
This is a developer tool for building text classification systems. It helps machine learning engineers or data scientists classify text by allowing them to quickly fine-tune various Transformer models (like BERT or XLNet) on their specific datasets. You input text data and it outputs classification predictions, helping to categorize documents, emails, or user comments.
343 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking for a streamlined way to experiment with different Transformer architectures for text classification tasks using your own datasets.
Not ideal if you are an end-user without programming or machine learning experience, as this tool requires familiarity with Python and deep learning frameworks.
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Python
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Last pushed
Sep 17, 2021
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