Skip to content

Latest commit

 

History

History
7 lines (6 loc) · 425 Bytes

Readme.md

File metadata and controls

7 lines (6 loc) · 425 Bytes

Sentiment Classification using ELMo Embeddings

Followed a blog to create bi-LSTM model that that takes ELMo embeddings as inputs.

  • Trained it on GPU.
  • Used Cached tools to fasten the process of getting embeddings.
  • Saved_model format does not work with tf hub models using Lambda layer. (Have to check further)
  • note-to-self: when using TF hub models, have to disable eager execution and default behavior