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
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Download README.md from harun-767/dog-breed-classifier: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
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https://huggingface.co/harun-767/dog-breed-classifier/resolve/main/README.md
- Command line
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hf download hf://harun-767/dog-breed-classifier/README.md
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curl -L -o README.md https://huggingface.co/harun-767/dog-breed-classifier/resolve/main/README.md
243 Bytes
metadata
pipeline_tag: image-classification
library_name: transformers
tags:
- dog
- image-classification