Comments (4)
CyberZHG
commented on May 19, 2024
from keras-bert.
houchangtao
commented on May 19, 2024
In the load and extract demo, which model you are loading? I tried the model: uncased_L-12_H-768_A-12 but get a different result as you got.
from keras-bert.
CyberZHG
commented on May 19, 2024
@houchangtao chinese_L-12_H-768_A-12
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houchangtao
commented on May 19, 2024
@CyberZHG Thanks!
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Related Issues (20)
- keras-bert load pre model failed in keras 2.2.4, maybe it is a bug
- could you provide an albert loader ? HOT 1
- 如何实现在自己的数据上很少的预训练？ HOT 1
- 如何提取长度一致的bert词向量？ HOT 1
- Input sentence for extract_embeddings HOT 1
- List index out of range for example code HOT 2
- 在哪里可以找到之前的版本呢？ HOT 2
- Keras Bert with character embeddings HOT 1
- The method get_model to get the bert model is right? HOT 4
- API reference list
- which version of keras-bert is compatible for tensorflow 1.13? HOT 2
- 关于显存巨量占用的疑惑 HOT 1
- Improve Tokenizer for uppercase text HOT 1
- Error in getting attention map HOT 3
- Masked LM pre-training HOT 1
- AttributeError: module 'keras' has no attribute 'applications' HOT 5
- module 'tensorflow.compat.v2' has no attribute '__internal__' HOT 1
- load_trained_model_from_checkpoint(config_path,checkpoint_file=checkpoint_path) AttributeError: 'tuple' object has no attribute 'layer'
- load_trained_model_from_checkpoint(config_path,checkpoint_file=checkpoint_path)
- 'adamwarmup' object has no attribute '_set_hyper'
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