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Seci84/
glove_word2vec

Name: glove_word2vec
Availability: InStock

mit

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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

python

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)

python

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.

Seci84/glove_word2vec