Instructions to use zz990906/test_bean_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zz990906/test_bean_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zz990906/test_bean_classifier") 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("zz990906/test_bean_classifier") model = AutoModelForImageClassification.from_pretrained("zz990906/test_bean_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 468266ad0e3fe7c70054ecf62d5fff96cb82060bf16655bb8aa8c9176d928265
- Size of remote file:
- 687 MB
- SHA256:
- ce5062e6f75f698eabee7c5c8bce1ff2028182cf9fd9b6e8b0d5ada1f50c47ab
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