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KevinGeng
/
whisper-base-PAL128

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use KevinGeng/whisper-base-PAL128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KevinGeng/whisper-base-PAL128 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="KevinGeng/whisper-base-PAL128")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("KevinGeng/whisper-base-PAL128")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("KevinGeng/whisper-base-PAL128", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base-PAL128
290 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
KevinGeng's picture
KevinGeng
Training in progress, step 150
2d57602 over 3 years ago
  • runs
    Training in progress, step 150 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 25 over 3 years ago
  • config.json
    2.22 kB
    Training in progress, step 25 over 3 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 25 over 3 years ago
  • pytorch_model.bin
    290 MB
    xet
    Training in progress, step 150 over 3 years ago
  • training_args.bin
    3.7 kB
    xet
    Training in progress, step 25 over 3 years ago