Load glove embeddings into pytorch

glove_to_pytorch.py

# convert glove to word2vec format
from gensim.scripts.glove2word2vec import glove2word2vec
glove2word2vec(glove_input_file="emb.txt", word2vec_output_file="emb_word2vec_format.txt")

import gensim
import torch
model = gensim.models.KeyedVectors.load_word2vec_format('emb_word2vec_format.txt')
weights = torch.FloatTensor(model.vectors)

# Ref: https://stackoverflow.com/questions/37793118/load-pretrained-glove-vectors-in-python
# https://stackoverflow.com/questions/49710537/pytorch-gensim-how-to-load-pre-trained-word-embeddings