Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Kushagra07/vit-large-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kushagra07/vit-large-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Kushagra07/vit-large-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask") 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("Kushagra07/vit-large-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask") model = AutoModelForImageClassification.from_pretrained("Kushagra07/vit-large-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c423526141924af174fb05c59efd6edf8b265c4f517329a83e4b1e023f2c59e0
- Size of remote file:
- 5.11 kB
- SHA256:
- fc62fb477c4c8ef68532599eae37d6568b4a36d6d9f6bd54d08bc03d52220320
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