metadata
tags:
- sentence-similarity
inference: false
license: pddl
language: en
library_name: staticvectors
GloVe-6B StaticVectors model
This model is an export of these GloVe-6B English Vectors (300d) 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/glove-6B")
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/glove-6B/model.sqlite")
model.embeddings(["word"])