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GleamEyeBeast
/
ASCEND_Dataset_Model

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

  • Libraries
  • Transformers

    How to use GleamEyeBeast/ASCEND_Dataset_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/ASCEND_Dataset_Model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("GleamEyeBeast/ASCEND_Dataset_Model")
    model = AutoModelForCTC.from_pretrained("GleamEyeBeast/ASCEND_Dataset_Model")
  • Notebooks
  • Google Colab
  • Kaggle
ASCEND_Dataset_Model / runs
53.2 kB
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  • 1 contributor
History: 6 commits
GleamEyeBeast's picture
GleamEyeBeast
End of training
6d3222e about 4 years ago
  • Mar15_22-34-10_d1f403a2708a
    End of training about 4 years ago
  • Mar16_14-56-28_16b626eea255
    Training in progress, step 500 about 4 years ago
  • Mar16_15-22-50_16b626eea255
    add tokenizer about 4 years ago
  • Mar16_15-34-31_16b626eea255
    End of training about 4 years ago