How to use JoshMe1/sn72 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JoshMe1/sn72") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("JoshMe1/sn72") model = AutoModelForImageClassification.from_pretrained("JoshMe1/sn72", device_map="auto")
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{ "model_name": "roadwork", "description": "ViT model for roadwork detection.", "version": "0.1.0", "submitted_by": "5C5WdST3VoqPhMvmDmqrjmFeSUU75AUxQmS2crJjAuGxd99m", "submission_time": "1750195200000" }
