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mau-cr
/
mayan_best_model

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

Instructions to use mau-cr/mayan_best_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mau-cr/mayan_best_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mau-cr/mayan_best_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("mau-cr/mayan_best_model")
    model = AutoModelForCTC.from_pretrained("mau-cr/mayan_best_model")
  • Notebooks
  • Google Colab
  • Kaggle
mayan_best_model / language_model
1.84 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
mau-cr's picture
mau-cr
Add processor with LM (KenLM 3-gram decoder)
2a9ec8f verified 4 days ago
  • attrs.json
    78 Bytes
    Add processor with LM (KenLM 3-gram decoder) 4 days ago
  • lm_3gram.arpa
    1.79 MB
    Add processor with LM (KenLM 3-gram decoder) 4 days ago
  • unigrams.txt
    49.7 kB
    Add processor with LM (KenLM 3-gram decoder) 4 days ago