Instructions to use geetanshi/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geetanshi/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="geetanshi/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("geetanshi/image_classification") model = AutoModelForImageClassification.from_pretrained("geetanshi/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06e0d9e2d651708483a228071a851321742d5b8922d12515019de6f641711d33
- Size of remote file:
- 343 MB
- SHA256:
- da1048c5694e0142c0b77ea67ab2620f5df51ac4296c072ec445a44250831477
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