Feature Extraction
Transformers
Safetensors
sheetsage2
audio
music
music-transcription
midi
abc-notation
custom_code
Instructions to use TechnoBaptist/SheetSage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TechnoBaptist/SheetSage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TechnoBaptist/SheetSage2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TechnoBaptist/SheetSage2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download THIRD_PARTY_NOTICES.md from TechnoBaptist/SheetSage2: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
-
https://huggingface.co/TechnoBaptist/SheetSage2/resolve/main/THIRD_PARTY_NOTICES.md
- Command line
-
hf download hf://TechnoBaptist/SheetSage2/THIRD_PARTY_NOTICES.md
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curl -L -o THIRD_PARTY_NOTICES.md https://huggingface.co/TechnoBaptist/SheetSage2/resolve/main/THIRD_PARTY_NOTICES.md
589 Bytes
Third-party notices
- MERT-v2-FullSong provides the public music encoder. Its weight terms remain CC BY-NC 4.0.
- The BART decoder uses Hugging Face Transformers (Apache 2.0); PyTorch uses its BSD-style license.
- abcjs 6.6.3 is distributed under MIT; its license accompanies the rendering assets.
- Playwright is distributed under Apache 2.0. Chromium is installed separately with its accompanying notices.
- FluidR3 piano samples by Frank Wen use CC BY 3.0 US. Attribution and source information accompany the samples.
- Other installed dependencies retain their respective licenses.