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:
- 198a50dbc6d2378ef96eec88ac30475d19ca5d8351a8224fb4ce0734949ced9c
- Size of remote file:
- 343 MB
- SHA256:
- 1a396b9b2ac35a617a324343c3eaecc4611d4b08b719571afc616729eb438979
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