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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b226736b8eed0d3f7130c82c1a6c49d0fe334839e2f12027b5ec2e32b3690a8
- Size of remote file:
- 687 MB
- SHA256:
- 2f862b26aa8c421663d1c84cd6f1f01648f91e1bd1fbe4fca01c7179e3e57342
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