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NKRSubedi
/
checkpoints

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Nepali
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use NKRSubedi/checkpoints with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NKRSubedi/checkpoints")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NKRSubedi/checkpoints")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NKRSubedi/checkpoints")
  • Notebooks
  • Google Colab
  • Kaggle
checkpoints / runs
1.94 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
NKRSubedi's picture
NKRSubedi
End of training
d8124b7 verified about 1 year ago
  • Mar13_17-50-52_ip-10-192-12-106
    End of training about 1 year ago
  • Mar13_17-53-01_ip-10-192-12-106
    End of training about 1 year ago
  • Mar13_17-54-31_ip-10-192-12-106
    End of training about 1 year ago
  • Mar13_17-55-50_ip-10-192-12-106
    End of training about 1 year ago
  • Mar13_22-45-51_ip-10-192-10-232
    End of training about 1 year ago
  • Mar13_22-47-39_ip-10-192-10-232
    End of training about 1 year ago