How to use prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xenova/tiny-random-Phi3ForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125")
https://huggingface.co/prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125/resolve/main/tokenizer.json
hf download hf://prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/prxy5605/f7f7034a-c45f-49ed-bee1-3b0399af1125/resolve/main/tokenizer.json
