metadata
tags:
- sentence-similarity
inference: false
license: pddl
language: en
library_name: staticvectors
base_model:
- NeuML/glove-6B
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.
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/glove-6B-quantized")
model.embeddings(["word"])