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Kleber
/
output_dir_run_2

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Kleber/output_dir_run_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Kleber/output_dir_run_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Kleber/output_dir_run_2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Kleber/output_dir_run_2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Kleber/output_dir_run_2")
  • Notebooks
  • Google Colab
  • Kaggle
output_dir_run_2 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 94 commits
Kleber's picture
Kleber
Training in progress, step 91000
2b6c296 over 3 years ago
  • Dec18_16-11-09_serv-9213
    Training in progress, step 1000 over 3 years ago
  • Dec22_12-19-03_serv-9213
    Training in progress, step 1000 over 3 years ago
  • Dec22_12-20-19_serv-9213
    Training in progress, step 1000 over 3 years ago
  • Dec22_16-45-20_serv-9213
    Training in progress, step 47000 over 3 years ago
  • Dec22_20-37-08_serv-9213
    Training in progress, step 47000 over 3 years ago
  • Dec22_20-39-42_serv-9213
    Training in progress, step 91000 over 3 years ago