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/f0c4d3948c19dabbc3f1450eecb0cb42dd013f73/pytorch_model.bin
- Command line
-
hf download hf://Alimuddin/amazon_fish_classification@f0c4d3948c19dabbc3f1450eecb0cb42dd013f73/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Alimuddin/amazon_fish_classification/resolve/f0c4d3948c19dabbc3f1450eecb0cb42dd013f73/pytorch_model.bin
343 MB
- Xet hash:
- 36bb3e4a443cb608e38dc59a21d1fed6ebf671927e9f2c7a69247223375a31cd
- Size of remote file:
- 343 MB
- SHA256:
- 2e3debf29a226595e08bcfe72d0217f8eabb768261ad91eea616effe1fecbdac
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