Instructions to use bryandts/garbage_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bryandts/garbage_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="bryandts/garbage_classification") 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("bryandts/garbage_classification") model = AutoModelForImageClassification.from_pretrained("bryandts/garbage_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
bdfa868 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8631acbb3ef2a14a20ea1f45fa016b52d3717276f4cc975b136173dd67c72a02
size 4091
|