Publish model release and public download instructions
Browse files- README.md +2 -3
- manifest.json +2 -2
README.md
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Model weights and release metadata for a cappella source separation.
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**Weight license: [CC BY-NC 4.0](licenses/CC-BY-NC-4.0.txt)**, subject to the upstream notices and third-party rights described in [WEIGHTS_NOTICE.md](WEIGHTS_NOTICE.md).
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- **Checkpoint paths, hashes, configurations, and validation selections:** [manifest.json](manifest.json)
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- **Code and installation:** [ACappellaSet on GitHub](https://github.com/pting126/ACappellaSet)
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- **Inference:** [fixed-output and part-specific models](https://github.com/pting126/ACappellaSet/blob/main/docs/inference.md), [shared query-conditioned models](https://github.com/pting126/ACappellaSet/blob/main/docs/conditioned-inference.md).
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- **Training and configurations:** [published code and recipes](https://github.com/pting126/ACappellaSet).
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- **Dataset:** [ACappellaSet](https://huggingface.co/datasets/AcappellaSet/ACappellaSet) is released with Manual Approval for Non-commercial Research Use.
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## Fixed-output and part-specific models
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## Download and inference
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```bash
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hf auth login
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hf download AcappellaSet/ACappellaSet-Models --local-dir ./ACappellaSet-Models
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```
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Model weights and release metadata for a cappella source separation.
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The public release contains **29 checkpoints**: three fixed-output models, twelve original part-specific specialists, and fourteen conditioned selections, including two trained with AI-generated singer augmentation. Downloads do not require login or an access request.
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**Weight license: [CC BY-NC 4.0](licenses/CC-BY-NC-4.0.txt)**, subject to the upstream notices and third-party rights described in [WEIGHTS_NOTICE.md](WEIGHTS_NOTICE.md).
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- **Checkpoint paths, hashes, configurations, and validation selections:** [manifest.json](manifest.json)
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- **Code and installation:** [ACappellaSet on GitHub](https://github.com/pting126/ACappellaSet)
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- **Inference:** [fixed-output and part-specific models](https://github.com/pting126/ACappellaSet/blob/main/docs/inference.md), [shared query-conditioned models](https://github.com/pting126/ACappellaSet/blob/main/docs/conditioned-inference.md).
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- **Training and configurations:** [published code and recipes](https://github.com/pting126/ACappellaSet).
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- **Dataset:** [ACappellaSet](https://huggingface.co/datasets/AcappellaSet/ACappellaSet) is released with Manual Approval for Non-commercial Research Use. Model downloads do not require dataset access approval, and Dataset Terms do not relicense these model weights.
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## Fixed-output and part-specific models
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## Download and inference
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```bash
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hf download AcappellaSet/ACappellaSet-Models --local-dir ./ACappellaSet-Models
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```
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manifest.json
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{
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"schema_version": 1,
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"status": "
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"code_repository": "https://github.com/pting126/ACappellaSet",
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"dataset_hosting": "https://huggingface.co/datasets/AcappellaSet/ACappellaSet (released; public Dataset Card with manually approved Non-commercial Research Use access)",
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"models": [
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"deferred_checkpoint_count": 0,
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"preferred_weight_license": "cc-by-nc-4.0",
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"previous_repository_id": "pting126/ACappellaSet-models",
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"repository_visibility": "
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}
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{
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"schema_version": 1,
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"status": "public_all_inference_exports_validated",
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"code_repository": "https://github.com/pting126/ACappellaSet",
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"dataset_hosting": "https://huggingface.co/datasets/AcappellaSet/ACappellaSet (released; public Dataset Card with manually approved Non-commercial Research Use access)",
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"models": [
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"deferred_checkpoint_count": 0,
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"preferred_weight_license": "cc-by-nc-4.0",
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"previous_repository_id": "pting126/ACappellaSet-models",
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"repository_visibility": "public"
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}
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