Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Danung/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Danung/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Danung/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("Danung/image_classification") model = AutoModelForImageClassification.from_pretrained("Danung/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ae89614a80a87265fbcb5572c27f4c724be5c38561b3283c34ebe624cc8e4ec
- Size of remote file:
- 687 MB
- SHA256:
- b26bcca618be2f4edef14c457bbcd1fb192006348423ef1f9942027513f9693f
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