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