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Rasi1610
/
model_result

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Rasi1610/model_result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rasi1610/model_result with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Rasi1610/model_result")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Rasi1610/model_result")
    model = AutoModelForAudioClassification.from_pretrained("Rasi1610/model_result")
  • Notebooks
  • Google Colab
  • Kaggle
model_result / runs
49.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Rasi1610's picture
Rasi1610
Rasi1610/SpeecherRecognitionModel
c7d00ef verified almost 2 years ago
  • Jul19_12-33-36_fab6d042a384
    Training in progress, epoch 6 almost 2 years ago
  • Jul19_12-34-13_fab6d042a384
    Training in progress, epoch 0 almost 2 years ago
  • Jul19_12-35-18_fab6d042a384
    Training in progress, epoch 24 almost 2 years ago
  • Jul22_03-30-20_95e5f664ce14
    Rasi1610/SpeecherRecognitionModel almost 2 years ago