Comments (2)
This Issue is resolved.
I changed last line of decoder.py to :
train.trainer(X,X,model)
I guess, README.md for decoding should mention that encoder model is the one returned by
skipthoughts.load_model()
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@ChokshiUtsav
How much RAM should I have at hand to train decoder on ~10000 sentences? (just an estimate)
On just 10 sentences, 16 GB of RAM is exhausted and the decoder is still at Packing Up step. Any help would be appreciated. Thanks!
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