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