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kul-speech-lab
/
whisper_medium_CGN

Automatic Speech Recognition
Transformers
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use kul-speech-lab/whisper_medium_CGN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kul-speech-lab/whisper_medium_CGN with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kul-speech-lab/whisper_medium_CGN")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("kul-speech-lab/whisper_medium_CGN")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("kul-speech-lab/whisper_medium_CGN")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_medium_CGN / scripts
41.2 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Jakob Poncelet
Scripts
8364bea about 3 years ago
  • cgn-dev.py
    2.96 kB
    Scripts about 3 years ago
  • jobfile_eval.job
    1.52 kB
    Scripts about 3 years ago
  • jobfile_eval_gpu.job
    845 Bytes
    Scripts about 3 years ago
  • jobfile_large.job
    591 Bytes
    Scripts about 3 years ago
  • run-cgn-medium.sh
    1.33 kB
    Scripts about 3 years ago
  • run_eval_whisper_streaming_local.py
    4.69 kB
    Scripts about 3 years ago
  • run_speech_recognition_seq2seq_streaming.py
    26.3 kB
    Scripts about 3 years ago
  • subs-annot.py
    2.96 kB
    Scripts about 3 years ago