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farsipal
/
whisper-md-el-intlv-xs

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Greek
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
greek
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use farsipal/whisper-md-el-intlv-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use farsipal/whisper-md-el-intlv-xs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="farsipal/whisper-md-el-intlv-xs")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("farsipal/whisper-md-el-intlv-xs")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("farsipal/whisper-md-el-intlv-xs", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-md-el-intlv-xs / runs
225 kB
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  • 1 contributor
History: 1 commit
farsipal's picture
farsipal
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2ca1edd over 3 years ago
  • Dec12_04-40-11_150-136-212-104
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