Instructions to use Seba42/cifar100-ButterflyMlpNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seba42/cifar100-ButterflyMlpNet with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import ViTNet model = ViTNet.from_pretrained("Seba42/cifar100-ButterflyMlpNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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