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Multi-modal Variational Autoencoder for text embedding transformation using geometric fusion.
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## Model Details
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- **Fusion Strategy**: cantor
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Multi-modal Variational Autoencoder for text embedding transformation using geometric fusion.
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The current implementation is trained with only a handful of token sequences, so it's essentially front-loaded. Expect short sequences to work.
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Full-sequence pretraining will begin soon with a uniform vocabulary that takes both tokens in for a representative uniform token based on the position.
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## Model Details
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- **Fusion Strategy**: cantor
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