README.md

metadata

tags:
  - sentence-similarity
inference: false
license: cc-by-sa-3.0
language: en
library_name: staticvectors
base_model:
  - NeuML/fasttext

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.

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/fasttext-quantized")
model.embeddings(["word"])