Instructions to use jhoppanne/Dogs-Breed-Image-Classification-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhoppanne/Dogs-Breed-Image-Classification-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jhoppanne/Dogs-Breed-Image-Classification-V2") 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-V2") model = AutoModelForImageClassification.from_pretrained("jhoppanne/Dogs-Breed-Image-Classification-V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cccc5324623638295b3cbafcbf283bdaaec317ea3d6b1552f18ab69b9add664
- Size of remote file:
- 4.73 kB
- SHA256:
- b6172a8c46a760cd578912ba454e8b7395d6b0d5a52a685ac5d5feee7fd3b83e
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