metadata
license: cc0-1.0
tags:
- conversational
datasets:
- alexandreteles/chizuru-ichinose
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
model-index:
- name: gptchizuru
results:
- task:
type: conversational
name: Conversational
dataset:
name: chizuru
type: alexandreteles/chizuru-ichinose
metrics:
- type: perplexity
value: 1.0784
name: Perplexity
verified: false
Chizuru Ichinose as a DialoGPT model
This model is a fine-tuned version of DialoGPT-medium trained on the Chizuru Ichinose conversational dataset.
We recommend using one of the Transformers pre-built pipelines to keep context without too much work when running this or any DialoGPT model:
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, Conversational
# load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("alexandreteles/GPTChizuru")
model = AutoModelForCausalLM.from_pretrained("alexandreteles/GPTChizuru")
# create pipeline
pipe = pipeline(task="conversational", model=model, tokenizer=tokenizer)
# generate response
print(pipe(Conversation("How are you?")))