jerry1993-tech/Text-CLS
开源hub是基于Tensorflow2.x的文本分类、对抗训练、标签平滑、处理样本不均衡
This project helps quickly set up and train models to categorize text into different groups, such as identifying if a sentence has a grammatical error. You provide a dataset of text examples with their correct categories, and it outputs a trained model that can classify new text. This is useful for data scientists or NLP engineers who need to build text classification systems.
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Use this if you need to build a text classification model with advanced training techniques for tasks like spam detection, sentiment analysis, or topic labeling.
Not ideal if you are looking for a pre-trained, ready-to-use model for a specific task without needing to train one yourself.
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12
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 23, 2022
Commits (30d)
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