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GleamEyeBeast
/
Mandarin

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use GleamEyeBeast/Mandarin with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/Mandarin")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("GleamEyeBeast/Mandarin")
    model = AutoModelForCTC.from_pretrained("GleamEyeBeast/Mandarin")
  • Notebooks
  • Google Colab
  • Kaggle
Mandarin / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
GleamEyeBeast's picture
GleamEyeBeast
End of training
fa29ad3 over 4 years ago
  • Feb06_22-48-35_8ade25c9ea5a
    End of training over 4 years ago
  • Feb06_23-22-14_8ade25c9ea5a
    End of training over 4 years ago
  • Feb07_03-44-15_2b9149332223
    add tokenizer over 4 years ago
  • Feb07_04-00-26_2a738031a642
    End of training over 4 years ago