kbulutozler/transformers-text-classification
using transformers to do text classification.
This project helps data scientists and machine learning engineers classify text documents into one or multiple categories. You provide a dataset of text documents, and it helps you build a model that can automatically sort new, unlabelled documents. This is useful for anyone who needs to categorize large volumes of text data.
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Use this if you need to automatically sort text documents into predefined categories, such as tagging customer feedback, classifying news articles, or categorizing legal documents.
Not ideal if you are looking for a no-code solution or a tool that does not require deep understanding of machine learning model training.
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Nov 10, 2021
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