How to use ninja990621/natix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ninja990621/natix") 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("ninja990621/natix") model = AutoModelForImageClassification.from_pretrained("ninja990621/natix", device_map="auto")
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{ "model_name": "roadwork-detection", "description": "authoritative model for roadwork detection", "version": "0.0.1", "submitted_by": "5CXreRb412cnFXgpyqvP6tAjHvgiJD9QjVjXEY1GnyoCYTKi", "submission_time": "2025-05-27T11:00:00Z" }
