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:
- 950ecc2ad3057808b338ef45809dc34363537a9e14e8c6e24bc4d3f3747fdafa
- Size of remote file:
- 343 MB
- SHA256:
- ca612c4b607b156456dde2382039718e2aa9c48f42df9b40992536aaa5bf6d43
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