How to use defefekt/PDLO_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="defefekt/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("defefekt/PDLO_Classifier") model = AutoModelForImageClassification.from_pretrained("defefekt/PDLO_Classifier", device_map="auto")
https://huggingface.co/defefekt/PDLO_Classifier/resolve/main/best_metric_tracker.json
hf download hf://defefekt/PDLO_Classifier/best_metric_tracker.json
curl -L -o best_metric_tracker.json https://huggingface.co/defefekt/PDLO_Classifier/resolve/main/best_metric_tracker.json
