# classify-news-title
同济大学用户交互 基于大模型的集成化新闻处理中心 后端第二部分 根据新闻标题进行分类
运行方式：
- 先找到environment.txt，运行conda create --name <env> --file <this file>，创建环境
- 运行run.py，进行模型训练
- 运行predict.py，用训练好的模型进行预测
来源：[649453932/Bert-Chinese-Text-Classification-Pytorch: 使用Bert，ERNIE，进行中文文本分类 (github.com)](https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch)
《AI大模型应用》--同济大学用户交互 基于大模型的集成化新闻处理中心 后端第二部分 根据新闻标题进行分类.zip （63个子文件） 
utils.py 3KB train_eval.py 6KB
environment.txt 3KB .gitattributes 102B
bert_pretrain pytorch_model.bin 134B bert_config.json 520B README.md 191B vocab.txt 107KB LICENSE 1KB predict.py 4KB .idea vcs.xml 225B misc.xml 291B inspectionProfiles profiles_settings.xml 174B Bert-Chinese-Text-Classification-Pytorch.iml 478B modules.xml 339B .gitignore 50B run.py 1KB pytorch_pretrained convert_openai_checkpoint_to_pytorch.py 3KB __init__.py 1KB modeling_gpt2.py 31KB modeling_transfo_xl_utilities.py 16KB tokenization_gpt2.py 13KB modeling_openai.py 37KB optimization_openai.py 5KB convert_transfo_xl_checkpoint_to_pytorch.py 6KB file_utils.py 9KB modeling.py 59KB convert_gpt2_checkpoint_to_pytorch.py 3KB optimization.py 13KB __main__.py 4KB modeling_transfo_xl.py 58KB tokenization_openai.py 14KB tokenization.py 17KB tokenization_transfo_xl.py 22KB __pycache__ modeling.cpython-37.pyc 51KB tokenization_transfo_xl.cpython-37.pyc 17KB optimization_openai.cpython-37.pyc 4KB convert_gpt2_checkpoint_to_pytorch.cpython-37.pyc 2KB modeling_transfo_xl_utilities.cpython-37.pyc 9KB tokenization_openai.cpython-37.pyc 11KB file_utils.cpython-37.pyc 7KB modeling_gpt2.cpython-37.pyc 27KB modeling_openai.cpython-37.pyc 32KB convert_openai_checkpoint_to_pytorch.cpython-37.pyc 2KB __main__.cpython-37.pyc 2KB modeling_transfo_xl.cpython-37.pyc 40KB convert_tf_checkpoint_to_pytorch.cpython-37.pyc 2KB tokenization_gpt2.cpython-37.pyc 11KB convert_transfo_xl_checkpoint_to_pytorch.cpython-37.pyc 3KB __init__.cpython-37.pyc 2KB optimization.cpython-37.pyc 11KB tokenization.cpython-37.pyc 12KB convert_tf_checkpoint_to_pytorch.py 3KB models bert.py 3KB __pycache__ bert.cpython-37.pyc 2KB __pycache__ train_eval.cpython-37.pyc 4KB utils.cpython-37.pyc 3KB README.md 545B THUCNews data dev.txt 538KB class.txt 82B test.txt 539KB train.txt 9.49MB saved_dict bert.ckpt 134B资源评论
