Instructions to use yangy50/garbage-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangy50/garbage-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yangy50/garbage-classification") 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("yangy50/garbage-classification") model = AutoModelForImageClassification.from_pretrained("yangy50/garbage-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9a51566c89df035abfbc76a01fec26276f7073a3a2d958f12f52033cae76abe
- Size of remote file:
- 343 MB
- SHA256:
- 051d4c7d29fe402c675923760dd03803bf359bd4d4de4e3f6f82aed81b683752
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