Instructions to use KevinTao511/pets_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevinTao511/pets_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="KevinTao511/pets_model") 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("KevinTao511/pets_model") model = AutoModelForImageClassification.from_pretrained("KevinTao511/pets_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14d18e58367aae8c2ff75145ba63ca13bbc3f2b505ea700c827a6b275791e646
- Size of remote file:
- 4.54 kB
- SHA256:
- 3576712403fb765660523b6db1042ed41f86efc706d3fc9935331a42c4b6e3d2
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