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NbAiLab
/
nb-whisper-medium

Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
ONNX
Safetensors
whisper
audio
asr
hf-asr-leaderboard
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use NbAiLab/nb-whisper-medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-medium")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLab/nb-whisper-medium")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/nb-whisper-medium")
  • Notebooks
  • Google Colab
  • Kaggle
nb-whisper-medium / ct2
3.06 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
pere's picture
pere
Bulk update
d3a8e74 about 2 years ago
  • config.json
    2.26 kB
    Bulk update about 2 years ago
  • model.bin
    3.06 GB
    xet
    Bulk update about 2 years ago
  • vocabulary.json
    1.07 MB
    Bulk update about 2 years ago