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FrancescoBonzi
/
whisper-tiny-librispeech

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

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

  • Libraries
  • Transformers

    How to use FrancescoBonzi/whisper-tiny-librispeech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="FrancescoBonzi/whisper-tiny-librispeech")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("FrancescoBonzi/whisper-tiny-librispeech")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("FrancescoBonzi/whisper-tiny-librispeech")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-librispeech / runs
68.5 kB
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  • 1 contributor
History: 1 commit
FrancescoBonzi's picture
FrancescoBonzi
End of training
c0c3b75 verified about 2 years ago
  • Mar14_16-50-51_ip-10-10-1-252.ec2.internal
    End of training about 2 years ago
  • Mar15_09-21-49_ip-10-10-6-88.ec2.internal
    End of training about 2 years ago
  • Mar15_10-05-40_ip-10-10-6-88.ec2.internal
    End of training about 2 years ago