Instructions to use firstoff/animalmind-breed-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firstoff/animalmind-breed-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="firstoff/animalmind-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("firstoff/animalmind-breed-classifier") model = AutoModelForImageClassification.from_pretrained("firstoff/animalmind-breed-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload README.md with huggingface_hub
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yeah readme again
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Upload processor
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v2.0 - Stanford Dogs 120 breeds - 86.5% accuracy
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Update model card with training metrics
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Upload improved ViT breed classifier (3 epochs, augmentation)
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Add model card
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Upload processor
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Upload ViTForImageClassification
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initial commit
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