Instructions to use HPAI-BSC/SuSy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPAI-BSC/SuSy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HPAI-BSC/SuSy") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HPAI-BSC/SuSy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download midjourney-images-example.jpg from HPAI-BSC/SuSy: direct link, hf CLI and curl.
- Browser
- Download file 191 kB
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https://huggingface.co/HPAI-BSC/SuSy/resolve/main/midjourney-images-example.jpg
- Command line
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hf download hf://HPAI-BSC/SuSy/midjourney-images-example.jpg
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curl -L -o midjourney-images-example.jpg https://huggingface.co/HPAI-BSC/SuSy/resolve/main/midjourney-images-example.jpg
191 kB
