Seci84/glove_word2vec

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language: en tags: - word2vec - glove - embeddings - pretrained - NLP library_name: gensim

🧠 GloVe Word2Vec Embeddings (glove.6B pretrained)

This repository contains multiple pretrained GloVe embeddings (6B tokens) converted into Word2Vec format using gensim. These embeddings can be directly loaded and used for downstream NLP tasks such as classification, clustering, and semantic similarity.

🗂️ Included Files

Filename	Description
glove.6B.50d.txt	50-dimensional GloVe vectors
glove.6B.100d.txt	100-dimensional GloVe vectors
glove.6B.100d.word2vec.txt	Converted version of 100d in Word2Vec format
glove.6B.200d.txt	200-dimensional GloVe vectors
glove.6B.300d.txt	300-dimensional GloVe vectors
glove_word2vec_model.pkl	Gensim KeyedVectors object for 100d model (pickled)

📦 Usage

Load .txt files with Gensim

from gensim.models import KeyedVectors

# Load Word2Vec format (text)
model = KeyedVectors.load_word2vec_format("glove.6B.100d.word2vec.txt", binary=False)

Load .pkl file (fastest)

from gensim.models import KeyedVectors

model = KeyedVectors.load("glove_word2vec_model.pkl")

📋 Source Original GloVe embeddings: https://nlp.stanford.edu/projects/glove/

Converted using gensim.scripts.glove2word2vec

💡 License MIT License. These embeddings are originally distributed by Stanford NLP under a permissive license.