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README.md
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@@ -15,6 +15,19 @@ Multi-modal Variational Autoencoder for text embedding transformation using geom
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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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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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A lone cybernetic deer with glimmering silver antlers stands beneath a fractured aurora sky, surrounded by glowing fungal trees, floating quartz shards, and bio-luminescent fog. In the distance, ruined monoliths pulse faint glyphs of a forgotten language, while translucent jellyfish swim through the air above a reflective obsidian lake. The atmosphere is electric with tension, color-shifting through prismatic hues. Distant thunderclouds churn violently.
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She will do her job when fully trained.
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## Model Details
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- **Fusion Strategy**: cantor
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