Comments (1)
model = keras.models.load_model('saved_model.hdf5', custom_objects=get_custom_objects())
from keras-transformer.
Related Issues (20)
- Using get_encoders in my model, output is all zeros HOT 3
- why get same output with different input? HOT 1
- Do I need to specify <start> and <end> of sequences HOT 1
- Questions about data input and output HOT 1
- module 'keras.layers' has no attribute 'Wrapper' HOT 1
- Some question about the decode method HOT 1
- How to handle multiple inputs HOT 1
- doesnt work when test set contains more than two sentences HOT 2
- How do you use masking with the transformer? HOT 2
- Hierarchy of Encoders Not Working HOT 1
- The input of function "_get_max_suffix_repeat_times" is not correct.
- why get the same output with different input? HOT 1
- Slow prediction HOT 1
- How can I adjust model to disable teacher forcing? HOT 4
- Question concerning default settings HOT 1
- Easiest way to output attention scores HOT 1
- ValueError: An operation has `None` for gradient. Please make sure that all of your ops have a gradient defined (i.e. are differentiable). Common ops without gradient: K.argmax, K.round, K.eval. HOT 1
- Installation problem on MAC m1 HOT 1
- what the required version of tensorflow and keras for this project?
- Code example of a transformer model based on character level input sequence and word level output sequence HOT 1
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from keras-transformer.