Instructions to use CEBangu/vit-base-patch16-224-finetune_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CEBangu/vit-base-patch16-224-finetune_test with Transformers:
# Load model directly from transformers import AutoImageProcessor, MEGVisionTransformer processor = AutoImageProcessor.from_pretrained("CEBangu/vit-base-patch16-224-finetune_test") model = MEGVisionTransformer.from_pretrained("CEBangu/vit-base-patch16-224-finetune_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d21f9e1d6acb93411df941c809bf2414f48e827e1b79002bf53805676947df1
- Size of remote file:
- 5.24 kB
- SHA256:
- 9837c80d39847c42d917f2a11171a8b974d85589f3e5aff45c1c4fc41db12045
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