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okuparinen
/
LIA_300m_simple

Automatic Speech Recognition
Transformers
Safetensors
Norwegian
wav2vec2
dialect
transcription
Model card Files Files and versions
xet
Community

Instructions to use okuparinen/LIA_300m_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use okuparinen/LIA_300m_simple with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="okuparinen/LIA_300m_simple")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("okuparinen/LIA_300m_simple")
    model = AutoModelForCTC.from_pretrained("okuparinen/LIA_300m_simple")
  • Notebooks
  • Google Colab
  • Kaggle
LIA_300m_simple
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
okuparinen's picture
okuparinen
Update README.md
27c1291 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    2.8 kB
    Update README.md 11 months ago
  • config.json
    2.04 kB
    Upload Wav2Vec2ForCTC 12 months ago
  • model.safetensors
    1.26 GB
    xet
    Upload Wav2Vec2ForCTC 12 months ago
  • preprocessor_config.json
    214 Bytes
    Upload preprocessor 11 months ago
  • vocab.json
    366 Bytes
    Upload preprocessor 11 months ago