Word Vectors
					Collection
				
Legacy word vectors (FastText, GloVe, Word2Vec) stored in the StaticVectors format
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This model is an export of the new GloVe 2024 WikiGiga 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-2024-wikigiga-quantized")
model.embeddings(["word"])