Instructions to use jhoppanne/Dogs-Breed-Image-Classification-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhoppanne/Dogs-Breed-Image-Classification-V0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jhoppanne/Dogs-Breed-Image-Classification-V0") 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("jhoppanne/Dogs-Breed-Image-Classification-V0") model = AutoModelForImageClassification.from_pretrained("jhoppanne/Dogs-Breed-Image-Classification-V0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3af3c1fcfcf764639e7585a10b400d8e2ddc99040782afd3c82f9c2ab3e30207
- Size of remote file:
- 4.73 kB
- SHA256:
- d85b61f6ed7106944f1ecdd4cc740f072a49b173549db1aff4c61429eeb7e011
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