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Duplicated from  slplab/whisper-large_v2-asd_v1

slplab
/
whisper-large_v2_test

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Korean
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use slplab/whisper-large_v2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slplab/whisper-large_v2_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="slplab/whisper-large_v2_test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("slplab/whisper-large_v2_test")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("slplab/whisper-large_v2_test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large_v2_test / runs
18.4 kB
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  • 1 contributor
History: 1 commit
slplab's picture
slplab
Duplicate from slplab/whisper-large_v2-asd_v1
922184b about 3 years ago
  • Jun29_02-12-44_oem-WS-C621E-SAGE-Series
    Duplicate from slplab/whisper-large_v2-asd_v1 about 3 years ago
  • Jun29_02-14-56_oem-WS-C621E-SAGE-Series
    Duplicate from slplab/whisper-large_v2-asd_v1 about 3 years ago