It was trained on a large corpus of text, including some emotionally engaging datasets such as the "Facebook Empathetic Dialogues" dataset containing 25k conversations.
A dataset of 25k conversations grounded in emotional situations to facilitate training and evaluating dialogue systems.
You can find a dataset
here.
1>>> from transformers import AutoTokenizer, AutoModelForCausalLM
2>>> tokenizer = AutoTokenizer.from_pretrained("AliiaR/DialoGPT-medium-empathetic-dialogues")
3>>> model = AutoModelForCausalLM.from_pretrained("AliiaR/DialoGPT-medium-empathetic-dialogues")
