Comments (1)
What has worked for me is python 3.6.10 and the following requirements.txt. Note that the tensorflow link needs python 3.6 and is for macs. Look here for other OS https://pypi.org/project/tensorflow/1.12.3/#files
requirements.txt:
absl-py==0.9.0
astor==0.8.1
astunparse==1.6.3
cachetools==4.1.0
certifi==2020.4.5.1
chardet==3.0.4
click==7.1.2
cloudpickle==1.1.1
decorator==4.4.2
Flask==1.1.2
funcsigs==1.0.2
gast==0.2.2
google-auth==1.14.2
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.28.1
h5py==2.10.0
idna==2.9
itsdangerous==1.1.0
Jinja2==2.11.2
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
Markdown==3.2.1
MarkupSafe==1.1.1
mypy-extensions==0.4.3
numpy==1.16.6
oauthlib==3.1.0
opt-einsum==3.2.1
packaging==20.3
pathlib==1.0.1
protobuf==3.11.3
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing==2.4.7
PyYAML==5.3.1
regex==2020.5.7
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
scipy==1.4.1
sentencepiece==0.1.86
six==1.14.0
tensorboard==1.12.2
tensorflow @ https://files.pythonhosted.org/packages/f3/79/4ff51dbced622bfe1ed5237e8aaf39d0650c73c3b31d5a7d1d6cf201352a/tensorflow-1.12.3-cp36-cp36m-macosx_10_11_x86_64.whl
termcolor==1.1.0
-e git://github.com/asyml/texar.git@573a80d818e7e1d24fe58d99d5a5100b56b571f7#egg=texar
urllib3==1.25.9
Werkzeug==1.0.1
wrapt==1.12.1
from abstractive-summarization-with-transfer-learning.
Related Issues (20)
- ValueError during the init of pretrained BERT HOT 4
- How can I get a abstract quickly?
- Taking way too long for Training HOT 2
- Is there an error inside the _eval_epoch function? HOT 6
- Facing memory exhausted while running inference HOT 12
- The generated summary has always been one, without any change? HOT 1
- ImportError: cannot import name 'gfile' from 'tensorflow' HOT 1
- Can you make a demo data of this file ?
- The Result on CNN and Daily Mail HOT 1
- AssertionError: model name:bert/encoder/layer_0/ffn/intermediate/bias not exists! HOT 1
- NameError: name 'bert_pretrain_dir' is not defined
- batch size problem HOT 2
- Getting error module 'texar_repo.examples.bert.utils.model_utils' has no attribute 'transform_bert_to_texar_config'
- Hi, Can i use your code for Chinese task? HOT 1
- Can't load save_path when it is None.
- ValueError: Dimensions must be equal, but are 768 and 512 for 'bert/transformer_encoder_1/layer_0/add' HOT 2
- got an unexpected keyword argument 'embedding'
- Setup error
- alueError: Unknown hyperparameter: position_embedder_type. Only hyperparameters named 'kwargs' hyperparameters can contain new entries undefined in default hyperparameters.
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from abstractive-summarization-with-transfer-learning.