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hiba2
/
mms_all_augment_ds

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use hiba2/mms_all_augment_ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hiba2/mms_all_augment_ds with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="hiba2/mms_all_augment_ds")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("hiba2/mms_all_augment_ds")
    model = AutoModelForCTC.from_pretrained("hiba2/mms_all_augment_ds")
  • Notebooks
  • Google Colab
  • Kaggle
mms_all_augment_ds / runs
131 kB
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  • 1 contributor
History: 101 commits
hiba2's picture
hiba2
Training in progress, step 4200
5022ecb over 2 years ago
  • Nov01_15-38-30_c3210fe3bc32
    Training in progress, step 1000 over 2 years ago
  • Nov01_21-37-42_a25221cc585c
    Training in progress, step 6600 over 2 years ago
  • Nov04_10-29-29_b7e6806b1446
    Training in progress, step 4200 over 2 years ago
  • Oct31_21-50-47_76bbe36722d5
    Training in progress, step 7000 over 2 years ago