How to use gabe-zhang/Llama-PaperSummarization-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "gabe-zhang/Llama-PaperSummarization-LoRA")
How to use gabe-zhang/Llama-PaperSummarization-LoRA with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="gabe-zhang/Llama-PaperSummarization-LoRA")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gabe-zhang/Llama-PaperSummarization-LoRA", dtype="auto")
