Instructions to use ArSenic04/Sports_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArSenic04/Sports_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ArSenic04/Sports_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("ArSenic04/Sports_Classification") model = AutoModelForImageClassification.from_pretrained("ArSenic04/Sports_Classification") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 0c1a2b66c4f544bdb76ead3ad3fffddcb444b43a5925ffd32a35875eda0bc5ee
- Size of remote file:
- 25.8 kB
- SHA256:
- 09bd98c5b950df96cd196a6b31850baab724ac5f9983174a79ba2d070f2570d0
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