Instructions to use zz990906/garbage_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zz990906/garbage_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zz990906/garbage_detector") 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("zz990906/garbage_detector") model = AutoModelForImageClassification.from_pretrained("zz990906/garbage_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from zz990906/garbage_detector: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/zz990906/garbage_detector/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://zz990906/garbage_detector@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/zz990906/garbage_detector/resolve/refs%2Fpr%2F1/optimizer.pt
687 MB
- Xet hash:
- d0ec10e6d7b7555f0808289187f64fe30b9db7e70db77de7bd55543c9db5ca9a
- Size of remote file:
- 687 MB
- SHA256:
- af3d2e1792f51c526f7c15df1827517883be3da00ac99b62b4c5c79cbff93622
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