chore: automate model releases

[hi-ogawa]

• part of web: load release-hosted models from local files #2

First upload should be done by

$ pnpm model-release release models-2026-07-11
> python tools/model_release.py release models-2026-07-11
https://github.com/hi-ogawa/demucs-onnx/releases/tag/models-2026-07-11


A new release of gh is available: 2.93.0 → 2.96.0
To upgrade, run: brew upgrade gh
https://github.com/cli/cli/releases/tag/v2.96.0

models-2026-07-11
hi-ogawa released this less than a minute ago

  Size-optimized Demucs ONNX models for native and browser inference. These are derived artifacts based on the        
  upstream                                                                                                            
  Demucs models https://github.com/adefossez/demucs and the ONNX export work in adefossez/demucs#10                   
  https://github.com/adefossez/demucs/pull/10.                                                                        
                                                                                                                      
  Download one of these sets:                                                                                         
                                                                                                                      
  • Standard four-stem and two-stem modes:  dft.bin  and  htdemucs.onnx .                                             
  • Fine-tuned target/minus mode:  dft.bin  and the corresponding  htdemucs_ft_<source>.onnx  specialist.             
  • Full fine-tuned support:  dft.bin  and all four fine-tuned specialists.                                           
                                                                                                                      
  Every ONNX model references the shared  dft.bin  external-data file. Keep both files in the same directory for      
  native                                                                                                              
  ONNX Runtime, or supply  dft.bin  through ONNX Runtime Web's external-data API.                                     


Assets
NAME                     DIGEST                                                                   SIZE      
dft.bin                  sha256:80473321a5e43a947397e877d25bb4f0f5a0d5d55a577cfe731f3fd8b225bc38  129.42 MiB
htdemucs.onnx            sha256:3cd5e05e5a28096c946e762c3214981a0952fc9be6c16390b6938dbe128caeee  160.89 MiB
htdemucs_ft_bass.onnx    sha256:8d9c5621fd4cda35c734967e0ae6f51ac581201cbc9bfaee51451bafafcea283  160.89 MiB
htdemucs_ft_drums.onnx   sha256:43ae4733c3f22121f215ac2d7c81c8424559c22ad40d320a266d520a67b9f809  160.89 MiB
htdemucs_ft_other.onnx   sha256:1eca666a577db22957f03583e29973960aded818c7a9a4d4da829a025b61fa46  160.89 MiB
htdemucs_ft_vocals.onnx  sha256:3abfc9a55e60e2898849d13a1f0f6f0daea8c22b521e1be1cb3f0cc689759ab4  160.89 MiB

View on GitHub: https://github.com/hi-ogawa/demucs-onnx/releases/tag/models-2026-07-11