Modelpublic

NeuML/fasttext

sourceHugging Facecc-by-sa-3.0updated 2y agoView on Hugging Face

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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.

Usage with StaticVectors

python

from staticvectors import StaticVectors

model = StaticVectors("neuml/fasttext")
model.embeddings(["word"])

Given that pre-trained embeddings models can get quite large, there is also a SQLite version that lazily loads vectors.

python

from staticvectors import StaticVectors

model = StaticVectors("neuml/fasttext/model.sqlite")
model.embeddings(["word"])