johngiorgi/declutr-base

The "DeCLUTR-base" model is intended to be used as a universal sentence encoder . It is similar to Google's Universal Sentence Encoder or Sentence Transformers . A simple example is shown below . Please see our repo for full details . The model was created from our paper: DeCLUTr: Deep Contrastive Learning for Unsupervised Textual Representations. The model is based on a paper published by John Giorgi and Osvald Nitski and Gary D. Bader and Bo Wang . The full description of the model below is available in the GitHub Repo for help with creating a simple example of using the model . For more information about,