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NbAiLabBeta
/
nb-whisper-tiny-verbatim

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

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

  • Libraries
  • Transformers

    How to use NbAiLabBeta/nb-whisper-tiny-verbatim with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-tiny-verbatim")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLabBeta/nb-whisper-tiny-verbatim")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabBeta/nb-whisper-tiny-verbatim")
  • Notebooks
  • Google Colab
  • Kaggle
nb-whisper-tiny-verbatim / predictions /validation
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  • 1 contributor
History: 8 commits
pere's picture
pere
Saving weights and logs of step 249 - epoch 5
3efbd5e over 2 years ago
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    Saving weights and logs of step 249 - epoch 5 over 2 years ago
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    Saving weights and logs of step 249 - epoch 5 over 2 years ago
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    Saving weights and logs of step 249 - epoch 5 over 2 years ago
  • step_200.md
    77.7 kB
    Saving weights and logs of step 249 - epoch 5 over 2 years ago
  • step_240.md
    77.7 kB
    Saving weights and logs of step 249 - epoch 5 over 2 years ago
  • step_249.md
    78.3 kB
    Saving weights and logs of step 249 - epoch 5 over 2 years ago
  • step_40.md
    77.7 kB
    Saving weights and logs of step 249 - epoch 5 over 2 years ago
  • step_80.md
    79.7 kB
    Saving weights and logs of step 249 - epoch 5 over 2 years ago