Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use fullstuck/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fullstuck/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fullstuck/image_classification") 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("fullstuck/image_classification") model = AutoModelForImageClassification.from_pretrained("fullstuck/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1457d9e94469041828fcb0ee7db4d562cf1ab45f4504f1c2a4d3c3ebbe310a31
- Size of remote file:
- 4.09 kB
- SHA256:
- 44ceaf73a3c763a3add0ed3a9caea254ec6d2cc438bca96378708d472e965627
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