Metadata-Version: 2.1
Name: tfembedhub
Version: 1.1.4
Summary: TensorFlow Hub module producer for text embedding lookup
Home-page: https://github.com/shkarupa-alex/tfembedhub
Author: Shkarupa Alex
Author-email: shkarupa.alex@gmail.com
License: MIT
Description: # tfembedhub
        
        Convert embeddings vectors (.txt format) into TensorFlow frozen embedding lookup.
        
        ## How to
        
        1. Save lookup keys and embeddings values in text file.
        
        Keys should be in first column. Other columns treated as embedding values. Any space-like characters allowed as columns separator.
        
        Important: first row should have key "<UNQ>".
        
        ```
        <UNQ> 0. 0. 0.
        key1 1. 2. 3.
        key2 4. 5. 6.
        ```
        
        2. Use command "tfembedhub-convert" to convert saved array into TF Hub Module.
        ```bash
        tfembedhub-convert vectors.txt vectors-hub/
        ```
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
