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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TechnoBaptist/SheetSage2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "SheetSage2Processor", | |
| "sampling_rate": 24000, | |
| "window_seconds": 300.0, | |
| "time_hz": 100, | |
| "schema_version": "v1", | |
| "tokenizer_fingerprint": "5ba3325af0344c7f", | |
| "auto_map": { | |
| "AutoProcessor": "processing_sheetsage2.SheetSage2Processor" | |
| } | |
| } | |