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oluwagbotty
/
mms_eng_yor

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use oluwagbotty/mms_eng_yor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="oluwagbotty/mms_eng_yor")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("oluwagbotty/mms_eng_yor")
    model = AutoModelForCTC.from_pretrained("oluwagbotty/mms_eng_yor", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mms_eng_yor / checkpoint-1200
3.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
oluwagbotty's picture
oluwagbotty
Training in progress, step 1200, checkpoint
c19b8af verified over 1 year ago
  • config.json
    2.01 kB
    Training in progress, step 1200, checkpoint over 1 year ago
  • model.safetensors
    3.86 GB
    xet
    Training in progress, step 1200, checkpoint over 1 year ago
  • optimizer.pt
    18.1 MB
    xet
    Training in progress, step 1200, checkpoint over 1 year ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 1200, checkpoint over 1 year ago
  • rng_state.pth
    14.3 kB
    xet
    Training in progress, step 1200, checkpoint over 1 year ago
  • scaler.pt
    988 Bytes
    xet
    Training in progress, step 1200, checkpoint over 1 year ago
  • scheduler.pt
    1.06 kB
    xet
    Training in progress, step 1200, checkpoint over 1 year ago
  • trainer_state.json
    5.87 kB
    Training in progress, step 1200, checkpoint over 1 year ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, step 1200, checkpoint over 1 year ago