Instructions to use Jacksss123/net72_uid58 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacksss123/net72_uid58 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jacksss123/net72_uid58") 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("Jacksss123/net72_uid58") model = AutoModelForImageClassification.from_pretrained("Jacksss123/net72_uid58") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- model_card.json +1 -1
model_card.json
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"model_name": "roadwork-detection",
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"description": "authoritative model for roadwork detection",
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"version": "0.0.1",
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"submitted_by":
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"submission_time": "1753949050"
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}
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"model_name": "roadwork-detection",
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"description": "authoritative model for roadwork detection",
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"version": "0.0.1",
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"submitted_by":"5E26CqowV8mkk6LpqZFBmT8JW5BwPjpBHthPheR1xFG85s8d",
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"submission_time": "1753949050"
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}
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