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ctaguchi
/
mms-1b-gui

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

Instructions to use ctaguchi/mms-1b-gui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ctaguchi/mms-1b-gui with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ctaguchi/mms-1b-gui")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ctaguchi/mms-1b-gui")
    model = AutoModelForCTC.from_pretrained("ctaguchi/mms-1b-gui")
  • Notebooks
  • Google Colab
  • Kaggle
mms-1b-gui / results
238 kB
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  • 1 contributor
History: 1 commit
ctaguchi's picture
ctaguchi
Training in progress, step 100
dbf4fe7 verified 5 months ago
  • beam50_3gram_alpha0.2_beta0.0.json
    59.2 kB
    Training in progress, step 100 5 months ago
  • beam50_5gram_alpha0.2_beta0.0.json
    59.2 kB
    Training in progress, step 100 5 months ago
  • beam50_alpha0.2_beta0.0.json
    59.7 kB
    Training in progress, step 100 5 months ago
  • greedy.json
    59.5 kB
    Training in progress, step 100 5 months ago