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:
- 5c5d53bcb6af955276c238b3ad6570f1a4be4c51db95a1d46b6ad254f9806daa
- Size of remote file:
- 234 MB
- SHA256:
- d5bdbed7f9b92410340fd95bf723d0ac3d3661f665f535918e475ec76ad9c70b
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