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transformer-tts
jnneumann/transformer-tts
transformer-tts is a machine learning model from jnneumann. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A tiny-scale implementation of the swin t architecture, built for retrieval tasks.
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Public
Updated Aug 25, 2026
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.py4.6 KB · 67%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026
- SHA
- e6812983
Model card
From the Hugging Face model README
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.
- License
- mit
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026