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 training_args.bin from Alimuddin/amazon_fish_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/52d4e203dedbe30ee2fca41ddbc47a51418b73ab/training_args.bin
- Command line
-
hf download hf://Alimuddin/amazon_fish_classification@52d4e203dedbe30ee2fca41ddbc47a51418b73ab/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/52d4e203dedbe30ee2fca41ddbc47a51418b73ab/training_args.bin
4.09 kB
- Xet hash:
- 9f11f7f031ada0a32414d4d68529ed4b01eca4e9f2fb785207862584cc6b1910
- Size of remote file:
- 4.09 kB
- SHA256:
- f4cca4f3a471a08b981f0f153b5d594b4598554a231ff071c8f0ea3aef687f4a
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