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uber / ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

question

How to add embedding layer to vectorize text? #10

Paramdeep Singh pdsing ·
#1

I had raised a question regarding using Google Universal Sentence Encoder earlier, but I think that embedding is not yet ready to be used with Ludwig. I would like to ask a question on how I can use any embedding layer to vectorize my text (paragraphs). If you can share a sample yaml file, that would be great.

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Piero Molino w4nderlust ·
#2

Ludwig already vectorizes your text and looks up embeddings and does everything for you. You can specify pretrained embeddings too. Please look at the sequential encoders for more details.