Instructions to use suncy13/sample_footColor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suncy13/sample_footColor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suncy13/sample_footColor") 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("suncy13/sample_footColor") model = AutoModelForImageClassification.from_pretrained("suncy13/sample_footColor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from suncy13/sample_footColor: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/suncy13/sample_footColor/resolve/main/training_args.bin
- Command line
-
hf download hf://suncy13/sample_footColor/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/suncy13/sample_footColor/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 63be638cc9d14db305427edd9035269c629a032665ba4ddcf47ce0e9228caecb
- Size of remote file:
- 4.6 kB
- SHA256:
- 404bfd780149259ed36f69280035a9876788328c08774e65b42816e953b57374
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