Instructions to use Saving-Willy/cetacean-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saving-Willy/cetacean-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Saving-Willy/cetacean-classifier", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("Saving-Willy/cetacean-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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datasets:
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- Saving-Willy/Happywhale-kaggle
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metrics:
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- accuracy
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pipeline_tag: image-classification
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license: apache-2.0
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datasets:
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- Saving-Willy/Happywhale-kaggle
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- Saving-Willy/test-sync
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metrics:
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- accuracy
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pipeline_tag: image-classification
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