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kiru1998
/
whisper-small-ko

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use kiru1998/whisper-small-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kiru1998/whisper-small-ko with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kiru1998/whisper-small-ko")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("kiru1998/whisper-small-ko")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("kiru1998/whisper-small-ko")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-ko / checkpoint-2000
2.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
kiru1998's picture
kiru1998
model
715fe46 almost 3 years ago
  • config.json
    1.29 kB
    model almost 3 years ago
  • generation_config.json
    3.51 kB
    model almost 3 years ago
  • optimizer.pt
    1.93 GB
    xet
    model almost 3 years ago
  • preprocessor_config.json
    339 Bytes
    model almost 3 years ago
  • pytorch_model.bin
    967 MB
    xet
    model almost 3 years ago
  • rng_state.pth
    14.5 kB
    xet
    model almost 3 years ago
  • scaler.pt
    557 Bytes
    xet
    model almost 3 years ago
  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    627 Bytes
    xet
    model almost 3 years ago
  • trainer_state.json
    10.4 kB
    model almost 3 years ago
  • training_args.bin
    4.09 kB
    xet
    model almost 3 years ago