How to use sweatSmile/Gemma-3-270m-Buddha-QA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-270m") model = PeftModel.from_pretrained(base_model, "sweatSmile/Gemma-3-270m-Buddha-QA")
How to use sweatSmile/Gemma-3-270m-Buddha-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sweatSmile/Gemma-3-270m-Buddha-QA")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sweatSmile/Gemma-3-270m-Buddha-QA", device_map="auto")
