Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use fadhfaiz/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fadhfaiz/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fadhfaiz/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("fadhfaiz/image_classification") model = AutoModelForImageClassification.from_pretrained("fadhfaiz/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7bd16825220a180aed8188d158f64354e29f164b636843fb8ed44b55271c811
- Size of remote file:
- 5.11 kB
- SHA256:
- a6c54c901a019236e78d34a7f7abbc5319b42e79dcf5d1344fe18e2498992ae6
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