Downloads · 30 days
0
tqdnes
salmanmohebi/tqdnes
tqdnes is a machine learning model from salmanmohebi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.
This release contains the nine inference checkpoints used by the TQDNEs paper: seven reported model configurations, one matched-step geometry control, and the shared frozen spectrogram VAE. Training-only optimizer, sc…
Access
Public
Updated Sep 21, 2026
Repo size
10.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.ckpt10.9 GB · 100%
At a glance
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Sep 21, 2026
- Updated
- Sep 21, 2026
- SHA
- 21327c18
Model card
From the Hugging Face model README
TQDNEs model checkpoints v0.1.0
This release contains the nine inference checkpoints used by the TQDNEs paper: seven reported model configurations, one matched-step geometry control, and the shared frozen spectrogram VAE. Training-only optimizer, scheduler, loop, and callback state has been removed.
Use manifest.json for model names, relative paths, file sizes, and SHA-256
hashes. The code, model documentation, and usage commands are maintained at
https://github.com/highfem/tqdnes. The restricted NIED K-NET/KiK-net training
waveforms are not included.
With this directory as TQDNES_DATA, verify all files using:
tqdnes download --verify
The checkpoints are released under Apache-2.0. The training recordings remain subject to the data provider's terms.
- Library
- pytorch
- License
- apache-2.0
- Created
- Sep 21, 2026
- Updated
- Sep 21, 2026