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GleamEyeBeast
/
ascend_with_timit

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/ascend_with_timit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GleamEyeBeast/ascend_with_timit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/ascend_with_timit")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("GleamEyeBeast/ascend_with_timit")
    model = AutoModelForCTC.from_pretrained("GleamEyeBeast/ascend_with_timit")
  • Notebooks
  • Google Colab
  • Kaggle
ascend_with_timit / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
GleamEyeBeast's picture
GleamEyeBeast
End of training
c4484e6 about 4 years ago
  • Apr04_23-39-10_70c3165bed54
    End of training about 4 years ago