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rossevine
/
Check_Model_1

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

Instructions to use rossevine/Check_Model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rossevine/Check_Model_1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rossevine/Check_Model_1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("rossevine/Check_Model_1")
    model = AutoModelForCTC.from_pretrained("rossevine/Check_Model_1")
  • Notebooks
  • Google Colab
  • Kaggle
Check_Model_1 / runs
20.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
rossevine's picture
rossevine
End of training
4c8be8e over 2 years ago
  • Aug31_03-58-33_hpc-Aquarium2
    Training in progress, step 400 over 2 years ago
  • Aug31_09-15-24_hpc-Aquarium2
    Training in progress, step 400 over 2 years ago
  • Aug31_09-28-16_hpc-Aquarium2
    End of training over 2 years ago