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bert-base-uncased #246

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wyk816 opened this issue Feb 11, 2023 · 2 comments
Open

bert-base-uncased #246

wyk816 opened this issue Feb 11, 2023 · 2 comments

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@wyk816
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wyk816 commented Feb 11, 2023

博主您好，本地bert-base-uncased预训练模型应该放在哪个路径下？需要修改什么吗？期待您的回复。
@CSgaoan
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CSgaoan commented Oct 16, 2023

博主您好，本地bert-base-uncased预训练模型应该放在哪个路径下？需要修改什么吗？期待您的回复。

拙见如下：你将下载的模型放在temp_dir路径下，然后在train_abstractive.py和train_extractive.py的223行253行330行的（可能有几行偏差，将路径都改为绝对路径temp_dir）
再在文件的首部加上from others.tokenization import BertTokenizer
图片如下：
image
你还需要在model_builder.py文件做如何修改
image

就是路径问题，多改就好

1 similar comment
@CSgaoan
Copy link

CSgaoan commented Oct 16, 2023

博主您好，本地bert-base-uncased预训练模型应该放在哪个路径下？需要修改什么吗？期待您的回复。

拙见如下：你将下载的模型放在temp_dir路径下，然后在train_abstractive.py和train_extractive.py的223行253行330行的（可能有几行偏差，将路径都改为绝对路径temp_dir）
再在文件的首部加上from others.tokenization import BertTokenizer
图片如下：
image
你还需要在model_builder.py文件做如何修改
image

就是路径问题，多改就好

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@wyk816 @CSgaoan