Instructions to use DamarJati/GreenLabel-Waste-Types with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DamarJati/GreenLabel-Waste-Types with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DamarJati/GreenLabel-Waste-Types") 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("DamarJati/GreenLabel-Waste-Types") model = AutoModelForImageClassification.from_pretrained("DamarJati/GreenLabel-Waste-Types") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33811c0392568df4c4ef9159afd065aaaaaa745a8915b97c404b2246d1c14ccd
- Size of remote file:
- 110 MB
- SHA256:
- dc859609ebe138be71f276bb233c6b589ff5dd426b113064e8313a5cb050d52f
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