Word Vectors
Collection
Legacy word vectors (FastText, GloVe, Word2Vec) stored in the StaticVectors format
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GloVe-6B StaticVectors model
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.
Usage with StaticVectors
from staticvectors import StaticVectors
model = StaticVectors("neuml/glove-6B-quantized")
model.embeddings(["word"])
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Model tree for NeuML/glove-6B-quantized
Base model
NeuML/glove-6B