---
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](https://huggingface.co/UKPLab/triple-encoders-dailydialog) 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!](https://arxiv.org/pdf/2211.07591.pdf) (ACL 2023)) on [Sentence Transformers](https://sbert.net/) 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
```bash
python -m pip install imaginaryNLP
```

## Usage
```python
candidates = ['Want to eat something out ?',
              'Want to go for a walk ?']

goal = ' I am hungry.'

stp.short_term_planning(candidates, goal)
```