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datapsalm
/
dsn2026-lid-w01

Audio Classification
Transformers
Safetensors
whisper
language-identification
nigerian-languages
dsn-2026
Model card Files Files and versions
xet
Community

Instructions to use datapsalm/dsn2026-lid-w01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use datapsalm/dsn2026-lid-w01 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="datapsalm/dsn2026-lid-w01")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("datapsalm/dsn2026-lid-w01")
    model = AutoModelForAudioClassification.from_pretrained("datapsalm/dsn2026-lid-w01", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dsn2026-lid-w01
40.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
datapsalm's picture
datapsalm
Add team members
cb20016 verified 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • LICENSE
    11.4 kB
    W01 submission 9 days ago
  • README.md
    2.78 kB
    Add team members 9 days ago
  • config.json
    2.64 kB
    W01 submission 9 days ago
  • model.safetensors
    40.4 MB
    xet
    W01 submission 9 days ago
  • preprocessor_config.json
    315 Bytes
    W01 submission 9 days ago