skip-thoughts
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Could not load model parameters in decoding
When we train with source sentences against target senteces
import train
train.trainer(X, C, skmodel)
the samples are seen and some form of decoding is done.
How can I use this model to decode other vectors? Essentially what is the model
? I dont think it is skmodel
from above, but instead some other decoding model
. If yes, how can I train one or save if it is trained in this step:
train.trainer(X, C, skmodel)
@ryankiros @oxingoxing Any help as you mention in this comment? Thanks!
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.