metadata
license: cc-by-nc-sa-4.0
pipeline_tag: conversational
datasets:
- daily_dialog
⚠️ This model is deprecated. Please don't use it as it produces embeddings of low quality. We recommend using triple-encoders instead, also if you want to use them as a classic bi-encoder.
Imaginary Embeddings utilize Curved Contrastive Learning (see paper Imagination Is All You Need! (ACL 2023)) on Sentence Transformers for long-short term dialogue planning and efficient abstract sequence modeling.
This model uses speaker tokens and was evaluated in the Short-Term planning experiments.
Setup
python -m pip install imaginaryNLP
Usage
candidates = ['Want to eat something out ?',
'Want to go for a walk ?']
goal = ' I am hungry.'
stp.short_term_planning(candidates, goal)