How to use ViTAMIn-O/PDLO_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ViTAMIn-O/PDLO_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ViTAMIn-O/PDLO_classifier") model = AutoModelForImageClassification.from_pretrained("ViTAMIn-O/PDLO_classifier", device_map="auto")
https://huggingface.co/ViTAMIn-O/PDLO_classifier/resolve/main/best_metric_tracker.json
hf download hf://ViTAMIn-O/PDLO_classifier/best_metric_tracker.json
curl -L -o best_metric_tracker.json https://huggingface.co/ViTAMIn-O/PDLO_classifier/resolve/main/best_metric_tracker.json
