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 785 MB
-
https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/d97a0aa2d4da1c4e90f4fc0f43d03c8fe66ebd65/pytorch_model.bin
- Command line
-
hf download hf://Alimuddin/amazon_fish_classification@d97a0aa2d4da1c4e90f4fc0f43d03c8fe66ebd65/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/d97a0aa2d4da1c4e90f4fc0f43d03c8fe66ebd65/pytorch_model.bin
785 MB
- Xet hash:
- 1a46f4556d151a2b94255eea09b6857846aa346bae582119f331231161878aa3
- Size of remote file:
- 785 MB
- SHA256:
- b61cbc5ea41ebd8a822637fcbdd811df81130f12085d26db067725f250906879
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