How to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2")
https://huggingface.co/aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2/resolve/fe6d01c373008451ca456cbc1c2b1c221acf8e33/tokenizer.json
hf download hf://aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2@fe6d01c373008451ca456cbc1c2b1c221acf8e33/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2/resolve/fe6d01c373008451ca456cbc1c2b1c221acf8e33/tokenizer.json
