Word Vectors
					Collection
				
Legacy word vectors (FastText, GloVe, Word2Vec) stored in the StaticVectors format
					• 
				10 items
				• 
				Updated
					
				•
					
					1
This model is an export of these GloVe-6B English Vectors (300d) for staticvectors. staticvectors enables running inference in Python with NumPy. This helps it maintain solid runtime performance.
This model is a quantized version of the base model. It's using 10x256 Product Quantization.
from staticvectors import StaticVectors
model = StaticVectors("neuml/glove-6B-quantized")
model.embeddings(["word"])
Base model
NeuML/glove-6B