Feature Extraction
Transformers
Safetensors
sheetsage2
audio
music
music-transcription
midi
abc-notation
custom_code
Instructions to use rAVEUK/SheetSage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rAVEUK/SheetSage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rAVEUK/SheetSage2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rAVEUK/SheetSage2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download render_assets/abcjs-basic-min.js from rAVEUK/SheetSage2: direct link, hf CLI and curl.
- Browser
- Download file 504 kB
-
https://huggingface.co/rAVEUK/SheetSage2/resolve/main/render_assets/abcjs-basic-min.js
- Command line
-
hf download hf://rAVEUK/SheetSage2/render_assets/abcjs-basic-min.js
-
curl -L -o abcjs-basic-min.js https://huggingface.co/rAVEUK/SheetSage2/resolve/main/render_assets/abcjs-basic-min.js
504 kB
File too large to display, you can check the raw version instead.