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NbAiLab
/
nb-whisper-small-beta

Automatic Speech Recognition
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
ONNX
Safetensors
whisper
audio
asr
hf-asr-leaderboard
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use NbAiLab/nb-whisper-small-beta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-small-beta")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLab/nb-whisper-small-beta")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/nb-whisper-small-beta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nb-whisper-small-beta
6.21 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 39 commits
pere's picture
pere
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  • pytorch_model.bin

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    What is a pickle import?

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