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GloVe-as-a-TensorFlow-Embedding-Layer

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

How to download and setup GloVe-as-a-TensorFlow-Embedding-Layer

Open terminal and run command
git clone https://github.com/guillaume-chevalier/GloVe-as-a-TensorFlow-Embedding-Layer.git
git clone is used to create a copy or clone of GloVe-as-a-TensorFlow-Embedding-Layer repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with GloVe-as-a-TensorFlow-Embedding-Layer https://github.com/guillaume-chevalier/GloVe-as-a-TensorFlow-Embedding-Layer/archive/master.zip

Or simply clone GloVe-as-a-TensorFlow-Embedding-Layer with SSH
[email protected]:guillaume-chevalier/GloVe-as-a-TensorFlow-Embedding-Layer.git

If you have some problems with GloVe-as-a-TensorFlow-Embedding-Layer

You may open issue on GloVe-as-a-TensorFlow-Embedding-Layer support forum (system) here: https://github.com/guillaume-chevalier/GloVe-as-a-TensorFlow-Embedding-Layer/issues

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