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
File size: 464 Bytes
7b967f9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"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
}
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