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Pablex
/
whisper_tiny_fleurs

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

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

  • Libraries
  • Transformers

    How to use Pablex/whisper_tiny_fleurs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Pablex/whisper_tiny_fleurs")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Pablex/whisper_tiny_fleurs")
    model = AutoModelForAudioClassification.from_pretrained("Pablex/whisper_tiny_fleurs", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_tiny_fleurs
1.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Pablex's picture
Pablex
End of training
274bf84 verified almost 2 years ago
  • utils
    Training in progress, epoch 1 almost 2 years ago
  • whisper-medium-fleurs-lang-id
    Training in progress, epoch 1 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.89 kB
    End of training almost 2 years ago
  • all_results.json
    369 Bytes
    End of training almost 2 years ago
  • config.json
    2.53 kB
    Training in progress, epoch 1 almost 2 years ago
  • eval_results.json
    184 Bytes
    End of training almost 2 years ago
  • model.safetensors
    16.6 MB
    xet
    Training in progress, epoch 3 almost 2 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, epoch 1 almost 2 years ago
  • train_results.json
    205 Bytes
    End of training almost 2 years ago
  • trainer_state.json
    3.25 kB
    End of training almost 2 years ago
  • training_args.bin
    6.58 kB
    xet
    Training in progress, epoch 1 almost 2 years ago