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
File size: 277 Bytes
e71ac9a | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"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"
}
}
|