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EYEDOL
/
FROM_C3_2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Swahili
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use EYEDOL/FROM_C3_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EYEDOL/FROM_C3_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="EYEDOL/FROM_C3_2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("EYEDOL/FROM_C3_2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("EYEDOL/FROM_C3_2")
  • Notebooks
  • Google Colab
  • Kaggle
FROM_C3_2 / runs
Ctrl+K
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  • 1 contributor
History: 1 commit
EYEDOL's picture
EYEDOL
End of training
9a77ad7 verified 11 months ago
  • Aug12_15-47-05_9c6017b3d3d8
    End of training 11 months ago