Instructions to use Filimize/Dog_Breed_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Filimize/Dog_Breed_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Filimize/Dog_Breed_Classification") 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("Filimize/Dog_Breed_Classification") model = AutoModelForImageClassification.from_pretrained("Filimize/Dog_Breed_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 577e22e239d1224998fe2ac96dce257bad9bb217e9814fdf24db324588f850d6
- Size of remote file:
- 343 MB
- SHA256:
- 18855b4a084c4fee9af34e89c5626fb0469173b3f31e33ff1199e3d930fe523d
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