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M2LabOrg
/
whisper-small-pt

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Portuguese
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use M2LabOrg/whisper-small-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use M2LabOrg/whisper-small-pt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-pt")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-pt")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("M2LabOrg/whisper-small-pt")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-pt / runs
108 kB
Ctrl+K
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  • 1 contributor
History: 9 commits
M2LabOrg's picture
M2LabOrg
Training in progress, step 4000
ddf3dc9 verified almost 2 years ago
  • Jun08_07-55-11_e6edac00ffed
    End of training almost 2 years ago
  • Jun08_08-24-22_e6edac00ffed
    End of training almost 2 years ago
  • Jun08_09-36-47_fdfb4c819ec3
    Training in progress, step 4000 almost 2 years ago
  • May17_08-06-20_7d5409276027
    Training in progress, step 3000 almost 2 years ago
  • May17_16-51-32_cf91a9e696b3
    End of training almost 2 years ago
  • May17_17-12-32_cf91a9e696b3
    End of training almost 2 years ago