How to use shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03")
https://huggingface.co/shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/resolve/55ea81c4929b3e2c75e6c0b19496c0fb4df5afb8/tokenizer.json
hf download hf://shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03@55ea81c4929b3e2c75e6c0b19496c0fb4df5afb8/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/resolve/55ea81c4929b3e2c75e6c0b19496c0fb4df5afb8/tokenizer.json
