Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use dewifaj/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dewifaj/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dewifaj/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("dewifaj/image_classification") model = AutoModelForImageClassification.from_pretrained("dewifaj/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbef81c065be2ed5a0316e18c11388d48e961b58b5e8b4b8574f081e018ae1d7
- Size of remote file:
- 343 MB
- SHA256:
- e86b1534b790dbd6537aa805e9228d29b69c0d446197cd94943203d7a80f0f8b
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