Word Vectors
Collection
Legacy word vectors (FastText, GloVe, Word2Vec) stored in the StaticVectors format
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FastText StaticVectors model
This model is an export of these FastText English Vectors (wiki-news-300d-1M-subword.vec.zip) 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/fasttext-quantized")
model.embeddings(["word"])
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Model tree for NeuML/fasttext-quantized
Base model
NeuML/fasttext