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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BioMike/classical_portrait_vae", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- config.json +4 -0
- model_conv_vae_256_epoch_256.pth +3 -0
config.json
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{
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"latent_size": 256,
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"model_type": "conv_vae"
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}
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model_conv_vae_256_epoch_256.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5125273f60c50ebd446e39d3e36c1a95ab722e7cdba02ee099ac7bd9854d01ec
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size 118067756
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