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Siyong
/
MT_LM

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Siyong/MT_LM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Siyong/MT_LM")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Siyong/MT_LM")
    model = AutoModelForCTC.from_pretrained("Siyong/MT_LM")
  • Notebooks
  • Google Colab
  • Kaggle
MT_LM / language_model
6.96 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Siyong's picture
Siyong
Upload lm-boosted decoder
16f5479 almost 4 years ago
  • 5gram.bin
    6.89 MB
    xet
    Upload lm-boosted decoder almost 4 years ago
  • attrs.json
    78 Bytes
    Upload lm-boosted decoder almost 4 years ago
  • unigrams.txt
    60.9 kB
    Upload lm-boosted decoder almost 4 years ago