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blackhole33
/
whisper-aisha-uz.v2

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

Instructions to use blackhole33/whisper-aisha-uz.v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use blackhole33/whisper-aisha-uz.v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="blackhole33/whisper-aisha-uz.v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("blackhole33/whisper-aisha-uz.v2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("blackhole33/whisper-aisha-uz.v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-aisha-uz.v2 / runs
51.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
blackhole33's picture
blackhole33
Training in progress, step 2900
290e77e about 2 years ago
  • Jul08_12-43-05_AI
    Training in progress, step 100 about 2 years ago
  • Jul08_14-54-46_AI
    Training in progress, step 2900 about 2 years ago