Image Classification
PyTorch
timm
computer-vision
vehicle-classification
fine-grained-classification
Instructions to use twincar-group2/twincar-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use twincar-group2/twincar-classifier with timm:
import timm model = timm.create_model("hf_hub:twincar-group2/twincar-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add checkpoint manifest for EfficientNet-B3
Browse files- checkpoint_manifest.json +15 -0
checkpoint_manifest.json
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{
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"current_candidate": {
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"file": "efficientnet_b3_stanford300_best.pt",
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"architecture": "efficientnet_b3",
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"image_size": 300,
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"dataset": "Stanford Cars",
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"num_classes": 196,
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"sha256": "9a58a217831a083c34bbe849b0880a262dfe996476ca5dddc4b218fa25bd56ac",
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"status": "candidate_final_for_api_smoke_test"
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},
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"previous_baseline": {
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"file": "best.pt",
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"note": "Do not assume this is the current final model until promotion is done."
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}
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}
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