Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use pk3388/vit-base-patch16-224-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pk3388/vit-base-patch16-224-vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pk3388/vit-base-patch16-224-vit") 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("pk3388/vit-base-patch16-224-vit") model = AutoModelForImageClassification.from_pretrained("pk3388/vit-base-patch16-224-vit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d7f09dff350ed24b9f409c3c8e1752d700655b8640e60bfd788bb522ee54e16
- Size of remote file:
- 4.98 kB
- SHA256:
- 9e0b0718b9425505705bfdab5b1f90df17bb753ec39d2a87da273e8c2f50a12b
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