limapedro
limapedro
Here my source: from shallowlearn.models import GensimFastText clf = GensimFastText(size=100, min_count=0, loss='hs', iter=1, seed=66)''' clf.fit([('i', 'am', 'tall'), ('you', 'are', 'fat')], ['yes', 'no']) print(clf.predict(['tall', 'am', 'i'])) It outputs: ['no', 'no', 'no']...
So sad, SD is my favorite C# IDE, it is faster than VS, I hope someday the project continues, but thanks guys for this awesome work.
Yeah this would be really cool, I used an extension but it was terrible. This one feature is a must.
> how to run on cpu? it doesn't seem to have a option to pass device on init of the model!
it seems that it needs 12 GB, I have 6 GB, i'm looking to run on CPU as of it now.
> can you point me a link to the smaller models?
I'd like to look in more details about how to implement custom Keras layers, since the performance boost is great enough, is there any sources on how to build Keras...