Instructions to use Alimuddin/amazon_fish_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alimuddin/amazon_fish_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Alimuddin/amazon_fish_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("Alimuddin/amazon_fish_classification") model = AutoModelForImageClassification.from_pretrained("Alimuddin/amazon_fish_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6d2ca1ff15393775be0f3994060b9372e8d7d279da1ee9db05dbb3475f3d367
- Size of remote file:
- 343 MB
- SHA256:
- 2e0a608553a5a74aa56938f53e0f4b936ff3760cf978a2194a4f4798e8e2a2a0
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