Instructions to use harun-767/dog-breed-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harun-767/dog-breed-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="harun-767/dog-breed-classifier") 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("harun-767/dog-breed-classifier") model = AutoModelForImageClassification.from_pretrained("harun-767/dog-breed-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harun-767/dog-breed-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/harun-767/dog-breed-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://harun-767/dog-breed-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harun-767/dog-breed-classifier/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- b39b9fdc40b42d3d06426ad1d7e0a83b44d42bbdba530ee23b002a196913a86e
- Size of remote file:
- 5.84 kB
- SHA256:
- 3a16b2232abc90e3512e9320ac980f4cb59fef4ce33b078082738c525b6034a5
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