Instructions to use ags0504/diamond-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ags0504/diamond-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ags0504/diamond-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("ags0504/diamond-classifier") model = AutoModelForImageClassification.from_pretrained("ags0504/diamond-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b97d0ba4fc952211008985f2e6750b175f7e93e5e802d623be2944465edf5abd
- Size of remote file:
- 4.09 kB
- SHA256:
- c64fa31b601e69917019a4fd82b3d445298995a3a8cbf908bac6d5ec63d41ce9
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