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mikr
/
whisper-large2-czech-cv11

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use mikr/whisper-large2-czech-cv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mikr/whisper-large2-czech-cv11 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-large2-czech-cv11")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("mikr/whisper-large2-czech-cv11")
    model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-czech-cv11")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large2-czech-cv11 / runs /Dec13_14-12-12_4b942bf2873e /1670947311.1365817
5.71 kB
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  • 3 contributors
History: 1 commit
mikr's picture
mikr
Training in progress, step 1000
9ce5f06 over 3 years ago
  • events.out.tfevents.1670947311.4b942bf2873e.3340235.1
    5.71 kB
    xet
    Training in progress, step 1000 over 3 years ago