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pgajo
/
large-v2-10k

Automatic Speech Recognition
Transformers
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use pgajo/large-v2-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pgajo/large-v2-10k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="pgajo/large-v2-10k")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("pgajo/large-v2-10k")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("pgajo/large-v2-10k")
  • Notebooks
  • Google Colab
  • Kaggle
large-v2-10k
92.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
pgajo's picture
pgajo
Training in progress, step 9000
e5b0fd5 verified about 2 years ago
  • runs
    Training in progress, step 9000 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    1.32 kB
    Training in progress, step 1000 about 2 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 1000 about 2 years ago
  • training_args.bin
    4.98 kB
    xet
    Training in progress, step 1000 about 2 years ago