metadata

tags:
  - sentence-similarity
inference: false
license: pddl
language: en
library_name: staticvectors

GloVe 2024 WikiGiga StaticVectors model

This model is an export of the new GloVe 2024 WikiGiga 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-2024-wikigiga")
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-2024-wikigiga/model.sqlite")
model.embeddings(["word"])