How to use eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/9c3101fe-8bc7-4dad-9c9a-edfaacfe28fe") model = PeftModel.from_pretrained(base_model, "eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f")
https://huggingface.co/eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f/resolve/2b1175d21c0c0021cc3a23b74d88bbb4b9b1d7bf/tokenizer.json
hf download hf://eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f@2b1175d21c0c0021cc3a23b74d88bbb4b9b1d7bf/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f/resolve/2b1175d21c0c0021cc3a23b74d88bbb4b9b1d7bf/tokenizer.json
