How to use shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69")
https://huggingface.co/shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/resolve/main/tokenizer.json
hf download hf://shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/shibajustfor/97e6c917-e820-40ce-af2e-b33a1b676b69/resolve/main/tokenizer.json
