Instructions to use cmu-lti/sotopia-pi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cmu-lti/sotopia-pi with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/tir/projects/tir6/bisk/ruiyiwan/selftrain/sft-round-2/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "cmu-lti/sotopia-pi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aa02d62da3784e61da2fb151b82ba7aa7a542b6f62fad87b9c0086ff42c0312
- Size of remote file:
- 6.86 MB
- SHA256:
- a7b9fe7529651942c9082c49825b280b10e1ccd3c410a25f55609e0c1e7e507d
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