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OliBomby
/
CM3P

Feature Extraction
Transformers
Safetensors
CM3P
custom_code
Model card Files Files and versions
xet
Community

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, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CM3P
294 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
OliBomby's picture
OliBomby
fix metadata tokenizer id to name mappings having string keys
8488397 verified 3 months ago
  • audio_feature_extractor
    Add CM3P model 6 months ago
  • beatmap_parser
    Add CM3P model 6 months ago
  • beatmap_tokenizer
    Add CM3P model 6 months ago
  • metadata_tokenizer
    Add CM3P model 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.19 kB
    Update README.md 6 months ago
  • config.json
    5.48 kB
    Add CM3P model 6 months ago
  • configuration_cm3p.py
    11.8 kB
    Add CM3P model 6 months ago
  • model.safetensors
    292 MB
    xet
    Add CM3P model 6 months ago
  • modeling_cm3p.py
    65.3 kB
    Add CM3P model 6 months ago
  • parsing_cm3p.py
    27.6 kB
    Add CM3P model 6 months ago
  • processing_cm3p.py
    37.9 kB
    Add CM3P model 6 months ago
  • processor_config.json
    806 Bytes
    Add CM3P model 6 months ago
  • tokenization_cm3p.py
    33.9 kB
    fix metadata tokenizer id to name mappings having string keys 3 months ago