Instructions to use DeepBeepMeep/TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/TTS with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download sheetsage2/README.md from DeepBeepMeep/TTS: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
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https://huggingface.co/DeepBeepMeep/TTS/resolve/main/sheetsage2/README.md
- Command line
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hf download hf://DeepBeepMeep/TTS/sheetsage2/README.md
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curl -L -o README.md https://huggingface.co/DeepBeepMeep/TTS/resolve/main/sheetsage2/README.md
1.19 kB
| # SheetSage2 / MERT2 for WanGP | |
| Merged BF16 music-transcription checkpoint prepared for WanGP YuE2 source-song scoring. It extracts a melody or melody and chords as ABC notation; lyrics must be supplied separately. | |
| Sources and attribution: Multimodal Art Projection (MAP) Team and collaborators. | |
| - [SheetSage2](https://huggingface.co/m-a-p/SheetSage2/tree/eab522a8168e8b8b8c4856bf8609cd86198f01fe) | |
| - [MERT-v2-FullSong](https://huggingface.co/m-a-p/MERT-v2-FullSong/tree/d8ba1c745e733b3908ce6ad16ebeb17ac7600a42) | |
| Weights are subject to CC BY-NC 4.0 (non-commercial use); see the accompanying upstream license files. | |
| SheetSage2 attention adapters are merged into MERT2 in FP32 before BF16 conversion. Four audio frontend buffers remain FP32. Shared embeddings are recorded using MMGP tied-weight metadata. The conversion manifest records source revisions and tensor coverage. | |
| Place `SheetSage2_MERT2_bf16.safetensors` in `ckpts/sheetsage2/`. WanGP loads it only when source scoring is requested and releases the model after transcription. This checkpoint uses WanGP's local SheetSage2 implementation. | |
| Checkpoint SHA-256: `b4b0d83c2fa0c6e912479866078a2c22f4a0ff4e4e63ed33b780b941cc2bad47`. | |