Instructions to use ibuki95/vision_172_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibuki95/vision_172_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ibuki95/vision_172_8") 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("ibuki95/vision_172_8") model = AutoModelForImageClassification.from_pretrained("ibuki95/vision_172_8") - Notebooks
- Google Colab
- Kaggle
Update model_card.json
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model_card.json
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"model_name": "Street_Vision8",
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"description": "Roadwork Detection model8",
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"version": "0.0.8",
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"submitted_by": "
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"submission_time":
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}
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"model_name": "Street_Vision8",
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"description": "Roadwork Detection model8",
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"version": "0.0.8",
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"submitted_by": "5CqND8dBX5qb9CqRWYv54HFPfFUzfitnAemRJuEQSdUG3v1d",
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"submission_time": 1749007425
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}
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