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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Alimuddin/amazon_fish_classification") model = AutoModelForImageClassification.from_pretrained("Alimuddin/amazon_fish_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Alimuddin/amazon_fish_classification: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/4d90eec61ba9a9a1a23ed48ede29607eb5c4e8b3/pytorch_model.bin
- Command line
-
hf download hf://Alimuddin/amazon_fish_classification@4d90eec61ba9a9a1a23ed48ede29607eb5c4e8b3/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/4d90eec61ba9a9a1a23ed48ede29607eb5c4e8b3/pytorch_model.bin
343 MB
- Xet hash:
- 81cf600e563d0ab483ea71e712f9bcbbdd36140f74e88422e5ea56d44e3b2f2c
- Size of remote file:
- 343 MB
- SHA256:
- 937c6d751a0560e68e654d14d6200e132446cd28d0f6117774cdd7a671751e4b
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