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Ranjit
/
Whisper_Small_Odia_10k_steps

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Oriya
whisper
whisper-event
Generated from Trainer
oriya
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Ranjit/Whisper_Small_Odia_10k_steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ranjit/Whisper_Small_Odia_10k_steps with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Ranjit/Whisper_Small_Odia_10k_steps")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Ranjit/Whisper_Small_Odia_10k_steps")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Ranjit/Whisper_Small_Odia_10k_steps", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Whisper_Small_Odia_10k_steps / runs
45.9 kB
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  • 1 contributor
History: 1 commit
Ranjit's picture
Ranjit
Upload 21 files
7c60538 over 3 years ago
  • Mar28_21-34-42_rp273
    Upload 21 files over 3 years ago