Instructions to use asenella/reproducing_mmvae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pythae
How to use asenella/reproducing_mmvae with pythae:
from pythae.models import AutoModel model = AutoModel.load_from_hf_hub("asenella/reproducing_mmvae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a263c00cdec4272bb59cdb19fda4f15078c39e6aa87b601745590039d72b659
- Size of remote file:
- 4.44 MB
- SHA256:
- c4e232ab60b06ca77657ac4ec4b2fc70d564aadbff58d92ce69de269cb5064b5
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