Instructions to use capofwesh20/bean_leaf_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capofwesh20/bean_leaf_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="capofwesh20/bean_leaf_classifier") 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("capofwesh20/bean_leaf_classifier") model = AutoModelForImageClassification.from_pretrained("capofwesh20/bean_leaf_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from capofwesh20/bean_leaf_classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/capofwesh20/bean_leaf_classifier/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://capofwesh20/bean_leaf_classifier@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/capofwesh20/bean_leaf_classifier/resolve/refs%2Fpr%2F1/training_args.bin
3.38 kB
- Xet hash:
- e4366bf959fd879e32ac11ea06f2e4d76226412dce805d96ce8e76b7e80380c7
- Size of remote file:
- 3.38 kB
- SHA256:
- f09536524e6f28a65f0fe5f9bb6416978debd0c9328cef94c1ddddda9c1ea907
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