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 4.03 kB
-
https://huggingface.co/Alfiyani/image_classification/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Alfiyani/image_classification@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Alfiyani/image_classification/resolve/refs%2Fpr%2F1/training_args.bin
4.03 kB
- Xet hash:
- 0b2c059fc207564ee3ba988eb52adcdbb2d938f422477b96e6841014401fa2ce
- Size of remote file:
- 4.03 kB
- SHA256:
- e39a406757623c1d183701709e347384887bfbf9f64dff2ed86cc51b7ca9ec83
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