How to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6")
https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/tokenizer.json
hf download hf://cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6@eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/tokenizer.json
