Instructions to use axelit64/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use axelit64/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="axelit64/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("axelit64/image_classification") model = AutoModelForImageClassification.from_pretrained("axelit64/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ec87a939f9b5eef0fab0bb155908d9ab17f44043f4aa4d871fb7642535cbba8
- Size of remote file:
- 343 MB
- SHA256:
- 892c73a563b223fd235a276b84133e83e1d1bde77e5d9aee6e441a00029cb0e0
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