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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ArSenic04/Sports_Classification") model = AutoModelForImageClassification.from_pretrained("ArSenic04/Sports_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/cricket_ball.jpg from ArSenic04/Sports_Classification: direct link, hf CLI and curl.
- Browser
- Download file 41.2 kB
-
https://huggingface.co/ArSenic04/Sports_Classification/resolve/main/images/cricket_ball.jpg
- Command line
-
hf download hf://ArSenic04/Sports_Classification/images/cricket_ball.jpg
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curl -L -o cricket_ball.jpg https://huggingface.co/ArSenic04/Sports_Classification/resolve/main/images/cricket_ball.jpg
41.2 kB

- Xet hash:
- a2e0569176705ddd080cdccefcf9fe9e22c3bcfeb078704c026cdf41d7f14b0e
- Size of remote file:
- 41.2 kB
- SHA256:
- a77e974c2719427c5a4448a52b3d7218a72a8b73f26de57f9dc1d3da47cc5773
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