Instructions to use juniorjukeko/img_class_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juniorjukeko/img_class_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="juniorjukeko/img_class_beans") 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("juniorjukeko/img_class_beans") model = AutoModelForImageClassification.from_pretrained("juniorjukeko/img_class_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from juniorjukeko/img_class_beans: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/juniorjukeko/img_class_beans/resolve/main/training_args.bin
- Command line
-
hf download hf://juniorjukeko/img_class_beans/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/juniorjukeko/img_class_beans/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 9148e871962eb6c031825c16a576752f828498cfca4cfea217ecb05a049329f8
- Size of remote file:
- 4.03 kB
- SHA256:
- 2fa9bf182ceb4c9f931703e9aa2044122da94ee2270b76a336227a984fdc05bc
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