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:
- b7dbc6007b599adf285814b05faca0aea4a5af7ae2f2b686a22324f4f595e680
- Size of remote file:
- 14 kB
- SHA256:
- ec859b2ce68dc22239ae89fc89ca51be37f1eb1e4eec3225a7e5f38fec447b57
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