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emilios
/
whisper-medium-el

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Greek
whisper
hf-asr-leaderboard
whisper-medium
mozilla-foundation/common_voice_11_0
greek
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
4

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

  • Libraries
  • Transformers

    How to use emilios/whisper-medium-el with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="emilios/whisper-medium-el")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("emilios/whisper-medium-el")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("emilios/whisper-medium-el", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-el / .ipynb_checkpoints
1.45 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
emilios's picture
emilios
4000/5000 done with both dropout values at 0.05
d0a02bf over 3 years ago
  • e3_interleaving-cl-checkpoint.ipynb
    730 kB
    Training in progress, step 2000 over 3 years ago
  • e5_interleaving-cl-checkpoint.ipynb
    720 kB
    4000/5000 done with both dropout values at 0.05 over 3 years ago