Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use pk3388/vit-base-patch16-224-30-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pk3388/vit-base-patch16-224-30-vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pk3388/vit-base-patch16-224-30-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-patch16-224-30-vit") model = AutoModelForImageClassification.from_pretrained("pk3388/vit-base-patch16-224-30-vit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faf6955b2c28dd2f727bab0bfb72722e770c5d6e410146272f03af46dbd1f457
- Size of remote file:
- 5.05 kB
- SHA256:
- e003b958519555ae5062157d5faa90b5266278de28fb018b828f99d1e2072530
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