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Download WEIGHTS_NOTICE.md from AcappellaSet/ACappellaSet-Models: direct link, hf CLI and curl.
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- Download file 1.87 kB
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https://huggingface.co/AcappellaSet/ACappellaSet-Models/resolve/main/WEIGHTS_NOTICE.md
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hf download hf://AcappellaSet/ACappellaSet-Models/WEIGHTS_NOTICE.md
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curl -L -o WEIGHTS_NOTICE.md https://huggingface.co/AcappellaSet/ACappellaSet-Models/resolve/main/WEIGHTS_NOTICE.md
1.87 kB
| # Model weight licensing status | |
| **Project weight license: [Creative Commons Attribution-NonCommercial 4.0 International](licenses/CC-BY-NC-4.0.txt) (CC BY-NC 4.0).** This applies to all 29 project checkpoints identified in [manifest.json](manifest.json), only to rights the licensors are authorized to grant. Credit ACappellaSet and preserve upstream attribution; indicate modifications when sharing. It does not grant additional third-party rights or change upstream license terms. The full-remix and single-clone singer-augmentation checkpoints were trained with voice-converted singer augmentation generated using Moises; their project license does not grant additional rights controlled by service providers or other third parties. | |
| ## Upstream notices | |
| Demucs source code uses MIT; preserve the [Meta notice](licenses/Demucs-MIT.txt). | |
| Pretrained initialization identities and tensor correspondence are recorded in the [initialization provenance](https://github.com/pting126/ACappellaSet/blob/main/third_party/initialization.json). | |
| Historical fixed and specialist training uses Music-Source-Separation-Training; | |
| preserve its [MIT notice](licenses/MSS-MIT.txt). | |
| Singer- and dual-conditioned models include fine-tuned WeSpeaker ReDimNet2 | |
| B6-LM encoder weights; preserve the upstream [Apache license](licenses/WeSpeaker-Apache-2.0.txt) | |
| and [WeSpeaker attribution](https://huggingface.co/Wespeaker/wespeaker-voxceleb-redimnet2-B6-LM). | |
| Project fine-tuning changes pretrained tensors. All released checkpoints are inference-only exports, retaining every separator and matching encoder tensor while omitting optimizer state, training arguments, and internal filesystem paths. | |
| Original documentation and metadata retain their [MIT license](LICENSE); that MIT license does not apply to model weights. | |
| Dataset audio, corpus terms, and third-party rights remain separate. | |