Instructions to use OliBomby/CM3P-ranked-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliBomby/CM3P-ranked-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliBomby/CM3P-ranked-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("OliBomby/CM3P-ranked-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download beatmap_parser/preprocessor_config.json from OliBomby/CM3P-ranked-classifier: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
-
https://huggingface.co/OliBomby/CM3P-ranked-classifier/resolve/main/beatmap_parser/preprocessor_config.json
- Command line
-
hf download hf://OliBomby/CM3P-ranked-classifier/beatmap_parser/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/OliBomby/CM3P-ranked-classifier/resolve/main/beatmap_parser/preprocessor_config.json
464 Bytes
| { | |
| "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 | |
| } | |