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SadeghK
/
whisper-base

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

Instructions to use SadeghK/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SadeghK/whisper-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SadeghK/whisper-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("SadeghK/whisper-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("SadeghK/whisper-base")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base / runs
848 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 90 commits
SadeghK's picture
SadeghK
Training in progress, step 50000
05cb480 verified over 1 year ago
  • Feb03_19-59-32_377153ebf61c
    Training in progress, step 15001 over 1 year ago
  • Feb04_21-03-17_377153ebf61c
    Training in progress, step 25000 over 1 year ago
  • Feb05_13-03-41_377153ebf61c
    Training in progress, step 40000 over 1 year ago
  • Feb06_11-57-33_5412d1a58421
    Training in progress, step 1000 over 1 year ago
  • Feb06_14-58-28_ac901a807eb2
    Training in progress, step 40000 over 1 year ago
  • Feb07_17-47-50_ac901a807eb2
    Training in progress, step 50000 over 1 year ago