Instructions to use SirBadr/my_awesome_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SirBadr/my_awesome_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SirBadr/my_awesome_classification_model") 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("SirBadr/my_awesome_classification_model") model = AutoModelForImageClassification.from_pretrained("SirBadr/my_awesome_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92099b42abd6eb7919356d041ab5282953f55cc24dd1830380f457b4f87534e0
- Size of remote file:
- 3.52 kB
- SHA256:
- d2df9f53e47fa3cd7c0ca239ff8fb7086b3cef6c7abd474c6597994ea44544e2
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