How to use vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c")
https://huggingface.co/vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c/resolve/0c87f0399a4baf3ffae98c5adc8fa4aa98ffad70/last-checkpoint/vocab.json
hf download hf://vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c@0c87f0399a4baf3ffae98c5adc8fa4aa98ffad70/last-checkpoint/vocab.json
curl -L -o vocab.json https://huggingface.co/vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c/resolve/0c87f0399a4baf3ffae98c5adc8fa4aa98ffad70/last-checkpoint/vocab.json
