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nadsoft
/
Dialect_accent_identification_10dialects_2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use nadsoft/Dialect_accent_identification_10dialects_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nadsoft/Dialect_accent_identification_10dialects_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nadsoft/Dialect_accent_identification_10dialects_2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("nadsoft/Dialect_accent_identification_10dialects_2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("nadsoft/Dialect_accent_identification_10dialects_2")
  • Notebooks
  • Google Colab
  • Kaggle
Dialect_accent_identification_10dialects_2 / tensorboard
147 kB
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  • 1 contributor
History: 27 commits
hassan10ehab's picture
hassan10ehab
Training in progress, step 5400
07fdbb7 verified 5 days ago
  • events.out.tfevents.1782344732.5773e7c040fb.5948.0
    83.8 kB
    xet
    Training in progress, step 200 5 days ago
  • events.out.tfevents.1782547657.180e8b6f133c.4597.0
    63.4 kB
    xet
    Training in progress, step 5400 5 days ago