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Edkl
/
whisper-small-vi

Automatic Speech Recognition
Transformers
whisper
Model card Files Files and versions
xet
Community

Instructions to use Edkl/whisper-small-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Edkl/whisper-small-vi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Edkl/whisper-small-vi")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Edkl/whisper-small-vi")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Edkl/whisper-small-vi", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-vi
212 kB
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  • 1 contributor
History: 3 commits
Edkl's picture
Edkl
Upload 2 files
f28d9f6 almost 4 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • config.json
    1.03 kB
    Upload 6 files almost 4 years ago
  • preprocessor_config.json
    185 kB
    Upload 2 files almost 4 years ago
  • rng_state.pth
    14.4 kB
    xet
    Upload 6 files almost 4 years ago
  • scaler.pt
    559 Bytes
    xet
    Upload 6 files almost 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    Upload 6 files almost 4 years ago
  • trainer_state.json
    5.21 kB
    Upload 6 files almost 4 years ago
  • training_args.bin
    3.5 kB
    xet
    Upload 6 files almost 4 years ago