Duplicated from m-a-p/SheetSage2
How to use drgaz/SheetSage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="drgaz/SheetSage2", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drgaz/SheetSage2", trust_remote_code=True, device_map="auto")
https://huggingface.co/drgaz/SheetSage2/resolve/main/__init__.py
hf download hf://drgaz/SheetSage2/__init__.py
curl -L -o __init__.py https://huggingface.co/drgaz/SheetSage2/resolve/main/__init__.py
