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chinese-text-classification-pytorch's Introduction

✨ Make the world better!!!!

Hi, 👋 I'm HU CHENGCHENG

This is my ToolKit, it must be your need 👉 Creative.CC 👈 || ⛏ Focus on improving personal efficiency!

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JackHCC/ Jack Cheng/ JackCC/ HCC are all of my CODE NAME

Long time no see. How are you? Oh, you are a new friend. Hi, Nice to meet you! :)


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🤡 Brief Introduction


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chinese-text-classification-pytorch's Issues

报文件损坏错误

RuntimeError: unexpected EOF, expected 6387653 more bytes. The file might be corrupted.
在将三个文档都放入到bert_pretain文件后,为什么会在load_data结束后,报文件损坏错误

Transformer跑不通

Transformer.py文件中的out = x + nn.Parameter(self.pe, requires_grad=False).to(self.device)报错:
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
这是为什么

Fasttext问题

为什么Fasttext不使用预训练的词向量,并且它的词表怎么不选用分词的,而是一个词一个词的那种?

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