Comments (4)
bigenheng
commented on September 25, 2024
你好，请问这个如何解决呢？
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M-YoungBWeN
commented on September 25, 2024
同问，我没有生成token2id
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M-YoungBWeN
commented on September 25, 2024
在训练时使用预训练模型就不会生成token2id文件，那么预测时该使用哪个词表呢
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stanleylsx
commented on September 25, 2024
在训练时使用预训练模型就不会生成token2id文件，那么预测时该使用哪个词表呢
预训练模型本身自己带有tokenizer，不需要生成token2id文件了。
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Related Issues (20)
- 更换预训练模型，比如albert HOT 3
- 为什么每次predict的结果会不同呢 HOT 1
- 当我训练完bilstm-crf和idcnn-crf模型的时候，开始训练bert-bilstm-crf模型，老是报错 HOT 2
- 使用微调的时候，训练老是0，为什么 HOT 1
- 将自己的数据集分为四类替换进去并且修改了suffix里面的标签为自己的标签 ，出现如下错误 HOT 2
- tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[24,95] = -7 is not in [0, 100)出现这个问题应该怎么办 HOT 1
- idcnn训练时出现准确率和召回率全0 HOT 2
- 将bert微调后的模型进行迁移，迁移后预测就结果就会错误，而在原来的机器上是正常的 HOT 1
- Idcnn+crf 无法训练 HOT 1
- Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 1
- ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 1
- TypeError: 'NoneType' object is not callable
- 如何训练自己的数据集 HOT 3
- equests.exceptions.SSLError: HOT 1
- 代码是否可以用在英文数据集上 HOT 1
- start evaluate engines...之后报错 HOT 2
- 库的导入
- 文件夹的问题
- 更改为自己数据集后的训练问题 HOT 1
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