How to use MamaPearl/nula-cifar10-robust-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MamaPearl/nula-cifar10-robust-v0", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("MamaPearl/nula-cifar10-robust-v0", trust_remote_code=True, device_map="auto")
https://huggingface.co/MamaPearl/nula-cifar10-robust-v0/resolve/2dd9366e9476dd762d9d67c4e59b08900e20b3f7/inspect.ipynb
hf download hf://MamaPearl/nula-cifar10-robust-v0@2dd9366e9476dd762d9d67c4e59b08900e20b3f7/inspect.ipynb
curl -L -o inspect.ipynb https://huggingface.co/MamaPearl/nula-cifar10-robust-v0/resolve/2dd9366e9476dd762d9d67c4e59b08900e20b3f7/inspect.ipynb
