Instructions to use OliBomby/CM3P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliBomby/CM3P with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OliBomby/CM3P", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OliBomby/CM3P", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_distances": false, | |
| "add_hitsounds": true, | |
| "add_kiai": true, | |
| "add_mania_sv": true, | |
| "add_positions": true, | |
| "add_snapping": false, | |
| "add_sv": true, | |
| "add_timing": true, | |
| "add_timing_points": true, | |
| "auto_map": { | |
| "AutoProcessor": "processing_cm3p.CM3PProcessor" | |
| }, | |
| "feature_extractor_type": "CM3PBeatmapParser", | |
| "mania_bpm_normalized_scroll_speed": true, | |
| "processor_class": "CM3PProcessor", | |
| "slider_version": 2 | |
| } | |