text-summarization-tensorflow
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Tensorflow seq2seq Implementation of Text Summarization.
It seems that this code was developed against older version. Apparently in tensorflow 2.4.0 there is no tensorflow.contrib module.
How do we train this on gpu?
anyone with the same issue? File "C:\ProgramData\Anaconda3\lib\site-packages\gensim\__init__.py", line 6, in from gensim import parsing, matutils, interfaces, corpora, models, similarities, summarization, utils # noqa:F401 File "C:\ProgramData\Anaconda3\lib\site-packages\gensim\parsing\__init__.py", line 4, in from .preprocessing...
I have tried to run the files but after testing the result.txt file which is the final output is empty nothing is been written to the file.
I have a saved model from previous training but when I start my training it starts from the beginning.
Please anyone give me an idea about how to replace "unk" in the generated summary with the actual word from the article(source).
 Hi, I just met this issue when I use the file2rouge in colab. The program is running more than 4 hours for the rouge assessment and still without any...
AttributeError: 'Model' object has no attribute 'update' when i change the parameter forward_only as True ,then run train.py ,finally, i get the mistake,i don't know why,can you help me?
Anyone care to comment training times for this model? CPU/GPU/TPU? I'm thinking in creating a Google Cloud ML Engine package for this (For both training and serving)