649453932/Bert-Chinese-Text-Classification-Pytorch
Chinese text classification using BERT and ERNIE models fine-tuned with PyTorch on a 200K news headline dataset.
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This repository provides out-of-the-box implementations for Chinese text classification using BERT and ERNIE pre-trained language models. The project fine-tunes these transformer models on a curated 10-class Chinese news headline dataset (THUCNews subset with 200K samples) and reports classification accuracy across multiple model variants including BERT, BERT+CNN, BERT+RNN, and BERT+RCNN. Pretrained model weights and configuration files are included for immediate use.
Frequently asked
- What is 649453932/Bert-Chinese-Text-Classification-Pytorch?
- Chinese text classification using BERT and ERNIE models fine-tuned with PyTorch on a 200K news headline dataset.
- Is Bert-Chinese-Text-Classification-Pytorch open source?
- Yes — 649453932/Bert-Chinese-Text-Classification-Pytorch is open source, released under the MIT license.
- What language is Bert-Chinese-Text-Classification-Pytorch written in?
- 649453932/Bert-Chinese-Text-Classification-Pytorch is primarily written in Python.
- How popular is Bert-Chinese-Text-Classification-Pytorch?
- 649453932/Bert-Chinese-Text-Classification-Pytorch has 4.4k stars on GitHub.
- Where can I find Bert-Chinese-Text-Classification-Pytorch?
- 649453932/Bert-Chinese-Text-Classification-Pytorch is on GitHub at https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch.