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fruk19
/
N_ASR_MID

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

Instructions to use fruk19/N_ASR_MID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fruk19/N_ASR_MID with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="fruk19/N_ASR_MID")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("fruk19/N_ASR_MID")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("fruk19/N_ASR_MID")
  • Notebooks
  • Google Colab
  • Kaggle
N_ASR_MID / runs
92.1 kB
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  • 1 contributor
History: 5 commits
fruk19's picture
fruk19
End of training
8aec55e verified almost 2 years ago
  • Jun21_11-16-58_fruk19pc
    Training in progress, step 6000 almost 2 years ago
  • Jun21_12-02-52_fruk19pc
    Training in progress, step 6000 almost 2 years ago
  • Jun21_12-06-26_fruk19pc
    Training in progress, step 6000 almost 2 years ago
  • Jun21_12-11-55_fruk19pc
    Training in progress, step 12000 almost 2 years ago
  • Jun21_18-48-21_fruk19pc
    End of training almost 2 years ago