Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use pratapaadii/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pratapaadii/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pratapaadii/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("pratapaadii/image_classification") model = AutoModelForImageClassification.from_pretrained("pratapaadii/image_classification") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun01_08-15-03_2e97229395c1
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- Jun01_09-02-14_2e97229395c1
- Jun01_12-58-44_7e2f55da7aff
- Jun01_13-49-28_7e2f55da7aff
- Jun01_13-53-35_7e2f55da7aff
- Jun02_14-25-39_b7d618233697
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- Jun02_14-56-06_43f11397111d