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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cde806da4eb4fce5a1a958af3171ddabf1a8df02e20f18f9b860d8d70a2197b
- Size of remote file:
- 343 MB
- SHA256:
- 1019c7b1b922caebe190dd93dc243fbbd161e0c87923b5ba853bcb1edf92345d
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