Universal Sentence Encoder alternate
with tfjs v4 support and tree shakable esm module
The Universal Sentence Encoder (Cer et al., 2018) (USE) is a model that encodes text into 512-dimensional embeddings. These embeddings can then be used as inputs to natural language processing tasks such as sentiment classification and textual similarity analysis.
This repo is a fork of https://www.npmjs.com/package/@tensorflow-models/universal-sentence-encoder updated in order to support the newer versions of tensorflowjs (tfjs)
- Updated dependencies
- Updated build (cjs/esm)