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This repository has been archived by the owner on Apr 30, 2021. It is now read-only.
I have glove 300d vectors only.
Change pls code here and here to this: def train(x, y, vx, vy, epochs, batch_size, save_folder, glove_path, dim_glove=100)
and model = seqtag_keras.Sequence(embeddings=embeddings, word_embedding_dim=dim_glove, word_lstm_size = dim_glove)
tnx
The text was updated successfully, but these errors were encountered:
nagadit
changed the title
Add a change in the dimension of vectors
Add the ability to change the dimension
Feb 26, 2020
@good-mouse 300d vectors are mostly a overkill and will result in at least 4x performance degradation.
If you really need support for 300d vectors inside the library, please consider making a PR. I will be more than happy to help if you need any guidance for that.
I have glove 300d vectors only.
Change pls code here and here to this:
def train(x, y, vx, vy, epochs, batch_size, save_folder, glove_path, dim_glove=100)
and
model = seqtag_keras.Sequence(embeddings=embeddings, word_embedding_dim=dim_glove, word_lstm_size = dim_glove)
tnx
The text was updated successfully, but these errors were encountered: