Instructions to use sofiane-isi/vit-beans-sofiane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofiane-isi/vit-beans-sofiane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sofiane-isi/vit-beans-sofiane") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sofiane-isi/vit-beans-sofiane") model = AutoModelForImageClassification.from_pretrained("sofiane-isi/vit-beans-sofiane", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sofiane-isi/vit-beans-sofiane: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/sofiane-isi/vit-beans-sofiane/resolve/main/training_args.bin
- Command line
-
hf download hf://sofiane-isi/vit-beans-sofiane/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sofiane-isi/vit-beans-sofiane/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 5747811a929d1bc32f32266a7b061f7b71171b503f417c8e8f09776a1b758746
- Size of remote file:
- 5.27 kB
- SHA256:
- 089927f2284e8594db9633996c288f4b5a8200767242975dd05f333138354f29
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