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/bb6079eb364cc34ee30d39cc48826deebfbfb8f2/training_args.bin
- Command line
-
hf download hf://Alimuddin/amazon_fish_classification@bb6079eb364cc34ee30d39cc48826deebfbfb8f2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/bb6079eb364cc34ee30d39cc48826deebfbfb8f2/training_args.bin
4.09 kB
- Xet hash:
- 80f755e6fb655a1d5fe3d6837f838aedb936f79bccf2163681c38b3d0b08a935
- Size of remote file:
- 4.09 kB
- SHA256:
- e65852f6b664ad3df99c37e41caa14547a592777cf570a1ab0451054afe82d2f
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