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ogbi
/
results

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

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

  • Libraries
  • Transformers

    How to use ogbi/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ogbi/results")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ogbi/results")
    model = AutoModelForCTC.from_pretrained("ogbi/results")
  • Notebooks
  • Google Colab
  • Kaggle
results / runs
130 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
ogbi's picture
ogbi
Training in progress, step 400
f7219f8 verified almost 2 years ago
  • Jun10_22-24-02_989d23a822eb
    End of training almost 2 years ago
  • Jun11_22-09-57_04c0d8a803ab
    End of training almost 2 years ago
  • Jun12_11-00-34_300b5fa48101
    End of training almost 2 years ago
  • Jun12_21-37-33_103f35af7d2e
    Training in progress, step 200 almost 2 years ago
  • Jun12_21-59-10_103f35af7d2e
    Training in progress, step 400 almost 2 years ago