Instructions to use raks87/resnet-18-finetuned-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raks87/resnet-18-finetuned-cifar10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="raks87/resnet-18-finetuned-cifar10") 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("raks87/resnet-18-finetuned-cifar10") model = AutoModelForImageClassification.from_pretrained("raks87/resnet-18-finetuned-cifar10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Apr07_14-53-27_9b51f9451925/events.out.tfevents.1712502568.9b51f9451925.6697.6 +3 -0
- train_results.json +4 -4
- trainer_state.json +183 -183
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runs/Apr07_14-53-27_9b51f9451925/events.out.tfevents.1712502568.9b51f9451925.6697.6
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