How to use phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297")
https://huggingface.co/phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297/resolve/d274aef8c63ebb1cf0e0cf19f9bdbdbcd6af786c/last-checkpoint/tokenizer.json
hf download hf://phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297@d274aef8c63ebb1cf0e0cf19f9bdbdbcd6af786c/last-checkpoint/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297/resolve/d274aef8c63ebb1cf0e0cf19f9bdbdbcd6af786c/last-checkpoint/tokenizer.json
