bdanko/loaf_resolution_512

from datasets import load_dataset import matplotlib.pyplot as plt import matplotlib.patches as patches import numpy as np # 1. Load the dataset # Note: Since this is a private repo, ensure you have run `huggingface-cli login` repo_id = "bdanko/loaf_resolution_512" print(f"Downloading {repo_id}...") dataset = load_dataset(repo_id, split="train") # 2. Grab the first example example = dataset[0] # Hugging Face automatically decodes the Parquet bytes into a PIL Image img = example["image"]… See the full description on the dataset page: https://huggingface.co/datasets/bdanko/loaf_resolution_512.