Instructions to use amehta633/cifar-10-vgg-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amehta633/cifar-10-vgg-pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amehta633/cifar-10-vgg-pretrained") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amehta633/cifar-10-vgg-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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