Instructions to use Alfiyani/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alfiyani/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Alfiyani/image_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("Alfiyani/image_classification") model = AutoModelForImageClassification.from_pretrained("Alfiyani/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Alfiyani/image_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Alfiyani/image_classification/resolve/7fdd61ee28fa6fdc9d0687ea57ecccd2ed20249c/training_args.bin
- Command line
-
hf download hf://Alfiyani/image_classification@7fdd61ee28fa6fdc9d0687ea57ecccd2ed20249c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Alfiyani/image_classification/resolve/7fdd61ee28fa6fdc9d0687ea57ecccd2ed20249c/training_args.bin
4.09 kB
- Xet hash:
- 8acca419aaf7c9364e21e5ac12ffd019997c92b375b25f937a5771353c9d112b
- Size of remote file:
- 4.09 kB
- SHA256:
- d313a5189bdc62fcf78dd4057cbbed8b3c63be98df282b53859ff61f9e9c4f58
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