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:
- d54a9f73136aa31539499caf4c19e08e86e1d4e50032651737481125b25ddcde
- Size of remote file:
- 3.9 kB
- SHA256:
- 262dbf888cb26283113e522b1a6dd24111378027824ee74389c1256cfab8608c
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