Instructions to use ashduino101/furry-species-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashduino101/furry-species-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ashduino101/furry-species-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("ashduino101/furry-species-classification") model = AutoModelForImageClassification.from_pretrained("ashduino101/furry-species-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6225a9b1566dd67fa3a659c403ed527c06b4d5ce1aa94c9f44b1ae3c92236a70
- Size of remote file:
- 343 MB
- SHA256:
- ea20afe82d494f3673e7b92d4331094bcad47853eb7c7e0ce126438af47de52c
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