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Raffay
/
org_speech_processing_project_wav2vec2

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Raffay/org_speech_processing_project_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Raffay/org_speech_processing_project_wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Raffay/org_speech_processing_project_wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Raffay/org_speech_processing_project_wav2vec2")
    model = AutoModelForCTC.from_pretrained("Raffay/org_speech_processing_project_wav2vec2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
org_speech_processing_project_wav2vec2 / runs
91.8 kB
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  • 1 contributor
History: 8 commits
Raffay's picture
Raffay
End of training
2eec6e8 over 4 years ago
  • Apr23_21-48-57_192.168.1.6
    End of training over 4 years ago
  • Apr23_22-10-46_192.168.1.6
    End of training over 4 years ago
  • Apr23_23-13-00_192.168.1.6
    End of training over 4 years ago
  • Apr23_23-49-20_192.168.1.6
    End of training over 4 years ago
  • Apr24_00-14-32_192.168.1.6
    End of training over 4 years ago
  • Apr24_00-33-38_192.168.1.6
    End of training over 4 years ago
  • Apr24_00-54-37_192.168.1.6
    End of training over 4 years ago
  • Apr24_01-23-32_192.168.1.6
    End of training over 4 years ago