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Bgeorge
/
model_dialect

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

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

  • Libraries
  • Transformers

    How to use Bgeorge/model_dialect with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Bgeorge/model_dialect")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Bgeorge/model_dialect")
    model = AutoModelForAudioClassification.from_pretrained("Bgeorge/model_dialect", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model_dialect / runs /Oct25_07-49-50_13afc5056c77
17.1 kB
Ctrl+K
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  • 1 contributor
History: 17 commits
Bgeorge's picture
Bgeorge
End of training
a0a3a68 verified almost 2 years ago
  • events.out.tfevents.1729842591.13afc5056c77.30.0
    16.7 kB
    xet
    Training in progress, epoch 15 almost 2 years ago
  • events.out.tfevents.1729843293.13afc5056c77.30.1
    411 Bytes
    xet
    End of training almost 2 years ago