Instructions to use Deval1004/streetvision19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deval1004/streetvision19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Deval1004/streetvision19") 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("Deval1004/streetvision19") model = AutoModelForImageClassification.from_pretrained("Deval1004/streetvision19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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model_card.json
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"model_name": "natix-network-org",
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"description": "Snapshot model from natix-network-org/roadwork",
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"version": "1.0.0",
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"submitted_by": "
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"model_name": "natix-network-org",
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"description": "Snapshot model from natix-network-org/roadwork",
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"version": "1.0.0",
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"submitted_by": "5Dw3Sb8QTt2EK51DYUMTuaVzVwpDHS94hMt68j4FwjzAzAQ3",
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"submission_time": 1749095371
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}
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