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Maybe related to the whole bunch of python 3 issues around the repo, but a simple
from keras_text.models import TokenModelFactory
ModuleNotFoundError Traceback (most recent call last) <ipython-input-8-96307cb1e937> in <module>() 1 # Will automagically handle padding for models that require padding (Ex: Yoon Kim CNN) ----> 2 from keras_text.models import TokenModelFactory 3 from keras_text.models import YoonKimCNN, AttentionRNN, StackedRNN 4 factory = TokenModelFactory(1, tokenizer.token_index, max_tokens=100, embedding_type='glove.6B.100d') 5 word_encoder_model = YoonKimCNN() ~/miniconda/envs/deeplearn/lib/python3.6/site-packages/keras_text/models/__init__.py in <module>() ----> 1 from token_model import TokenModelFactory 2 from sentence_model import SentenceModelFactory 3 from sequence_encoders import *
The text was updated successfully, but these errors were encountered:
from .token_model import TokenModelFactory from .sentence_model import SentenceModelFactory from .sequence_encoders import *
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Maybe related to the whole bunch of python 3 issues around the repo, but a simple
from keras_text.models import TokenModelFactory
The text was updated successfully, but these errors were encountered: