Instructions to use ILT37/Image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ILT37/Image-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ILT37/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("ILT37/Image-classification") model = AutoModelForImageClassification.from_pretrained("ILT37/Image-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 822a0fd34e601ecdc1611420c3b381e8d19f7a33e84b2dce0abee88c092ada50
- Size of remote file:
- 4.73 kB
- SHA256:
- e14f0f49e329a54d9c09dad07e5dc67202bf2d77c30c5b085b61482dc7ee342b
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