Instructions to use INC4AI/vit-base-patch16-224-int8-static-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use INC4AI/vit-base-patch16-224-int8-static-inc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="INC4AI/vit-base-patch16-224-int8-static-inc") 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("INC4AI/vit-base-patch16-224-int8-static-inc") model = AutoModelForImageClassification.from_pretrained("INC4AI/vit-base-patch16-224-int8-static-inc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3680c1ccf13d0bd9537aa6da49feba9e6e6519559bc26fc4fb4061ca578e3d42
- Size of remote file:
- 97.8 MB
- SHA256:
- 1452cfb2305cfb08352376e86c58e437a6fb22cc3fe3b33c9f0bf5b84e02b636
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