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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Filimize/Dog_Breed_Classification") model = AutoModelForImageClassification.from_pretrained("Filimize/Dog_Breed_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Filimize/Dog_Breed_Classification: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Filimize/Dog_Breed_Classification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://Filimize/Dog_Breed_Classification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Filimize/Dog_Breed_Classification/resolve/refs%2Fpr%2F1/model.safetensors
343 MB
- Xet hash:
- 577e22e239d1224998fe2ac96dce257bad9bb217e9814fdf24db324588f850d6
- Size of remote file:
- 343 MB
- SHA256:
- 18855b4a084c4fee9af34e89c5626fb0469173b3f31e33ff1199e3d930fe523d
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