How to use shibajustfor/a620d886-b805-48bd-8615-2a268f332be8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf-flash") model = PeftModel.from_pretrained(base_model, "shibajustfor/a620d886-b805-48bd-8615-2a268f332be8")
https://huggingface.co/shibajustfor/a620d886-b805-48bd-8615-2a268f332be8/resolve/main/last-checkpoint/tokenizer.json
hf download hf://shibajustfor/a620d886-b805-48bd-8615-2a268f332be8/last-checkpoint/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/shibajustfor/a620d886-b805-48bd-8615-2a268f332be8/resolve/main/last-checkpoint/tokenizer.json
