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codewithdark
/
WhisperLiveSubs

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

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

  • Libraries
  • Transformers

    How to use codewithdark/WhisperLiveSubs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="codewithdark/WhisperLiveSubs")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("codewithdark/WhisperLiveSubs")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("codewithdark/WhisperLiveSubs")
  • Notebooks
  • Google Colab
  • Kaggle
WhisperLiveSubs / runs
66.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
codewithdark's picture
codewithdark
Training in progress, step 4000
b046689 verified over 1 year ago
  • Sep04_09-16-14_09c6f00cdc2c
    Training in progress, step 2000 over 1 year ago
  • Sep04_17-23-02_84e500873593
    Training in progress, step 4000 over 1 year ago