WECENG/bert-pytorch

基于BERT预训练模型使用pythorch训练文本分类模型

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Experimental

This project helps you automatically categorize text, such as customer reviews, into predefined groups like 'positive' or 'negative'. You provide a dataset of text examples with their correct categories, and it trains a model that can then classify new, unseen text. It's designed for anyone needing to sort or analyze large volumes of text quickly and consistently.

No commits in the last 6 months.

Use this if you have a collection of text documents that you need to sort into specific categories, and you have some examples already labeled by hand.

Not ideal if you don't have any labeled examples to start with or if your categorization needs are constantly changing.

text-classification sentiment-analysis content-moderation customer-feedback document-tagging
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 15 / 25

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Last pushed

Dec 26, 2023

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