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SamagraDataGov
/
whisper-tiny-hi2_test

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

Instructions to use SamagraDataGov/whisper-tiny-hi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SamagraDataGov/whisper-tiny-hi2_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/whisper-tiny-hi2_test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("SamagraDataGov/whisper-tiny-hi2_test")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/whisper-tiny-hi2_test")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-hi2_test / whisper-tiny-hi-checkpoint-9
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  • 1 contributor
History: 2 commits
SamagraDataGov's picture
SamagraDataGov
Training in progress, step 40
2fe25c9 verified almost 2 years ago
  • config.json
    1.34 kB
    Model save almost 2 years ago
  • generation_config.json
    3.74 kB
    Model save almost 2 years ago
  • model.safetensors
    151 MB
    xet
    Model save almost 2 years ago
  • preprocessor_config.json
    339 Bytes
    Model save almost 2 years ago
  • trainer_state.json
    7.68 kB
    Training in progress, step 40 almost 2 years ago
  • training_args.bin
    5.24 kB
    xet
    Model save almost 2 years ago