jnneumann
/

transformer-tts

cross-attention

Model card Files Files and versions

run.py

Model Overview

A tiny-scale implementation of the swin t architecture, built for retrieval tasks.

Architecture

Architecture: swin t
Scale: tiny
Attention: dilated
Fusion strategy: cross attention
Task head: retrieval
Activation: approx gelu
Normalization: scalenorm
Initialization: orthogonal

Training

Optimizer: lion
LR scheduler: exponential

Files

run.py — main artifact of this repository

License

See the license field above.

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