How to use shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codellama-7b") model = PeftModel.from_pretrained(base_model, "shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a")
https://huggingface.co/shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a/resolve/ddea0dc297f5c9ba349549a524484f016751baa6/tokenizer.json
hf download hf://shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a@ddea0dc297f5c9ba349549a524484f016751baa6/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a/resolve/ddea0dc297f5c9ba349549a524484f016751baa6/tokenizer.json
