best pre-trained language models for text classification

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aclweb.org article

Pre-trained Language Models for Text Classification

This article reviews recent advances in pre-trained language models for text classification, including BERT, RoBERTa, and XLNet.

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huggingface.co tool

Text Classification with Pre-trained Language Models

Learn how to use pre-trained language models like BERT, DistilBERT, and ALBERT for text classification tasks with this tutorial and example code.

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mit.edu research

Pre-trained Language Models for Natural Language Processing

This research paper explores the use of pre-trained language models for a range of NLP tasks, including text classification, sentiment analysis, and question answering.

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towardsdatascience.com article

Best Pre-trained Language Models for Text Classification

This article compares the performance of different pre-trained language models on text classification tasks, including BERT, RoBERTa, and DistilBERT.

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youtube.com video

Text Classification with Pre-trained Language Models

Watch this video tutorial to learn how to use pre-trained language models for text classification tasks, including how to fine-tune models and evaluate their performance.

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arxiv.org research

Pre-trained Language Models for Text Classification: A Survey

This survey paper provides an overview of recent advances in pre-trained language models for text classification, including their strengths, weaknesses, and applications.

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microsoft.com official

Using Pre-trained Language Models for Text Classification

Learn how to use pre-trained language models like BERT and RoBERTa for text classification tasks with this official Microsoft tutorial and example code.

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kdnuggets.com article

Pre-trained Language Models for Text Classification: A Practical Guide

This practical guide provides tips and tricks for using pre-trained language models for text classification tasks, including how to choose the best model and fine-tune it for your specific use case.