Instructions to use BioMike/classical_portrait_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMike/classical_portrait_vae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="BioMike/classical_portrait_vae")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BioMike/classical_portrait_vae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download example.png from BioMike/classical_portrait_vae: direct link, hf CLI and curl.
- Browser
- Download file 323 kB
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https://huggingface.co/BioMike/classical_portrait_vae/resolve/main/example.png
- Command line
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hf download hf://BioMike/classical_portrait_vae/example.png
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curl -L -o example.png https://huggingface.co/BioMike/classical_portrait_vae/resolve/main/example.png
323 kB
