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MBMMurad
/
wav2vec2_murad_with_some_new_data

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

Instructions to use MBMMurad/wav2vec2_murad_with_some_new_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MBMMurad/wav2vec2_murad_with_some_new_data with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MBMMurad/wav2vec2_murad_with_some_new_data")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("MBMMurad/wav2vec2_murad_with_some_new_data")
    model = AutoModelForCTC.from_pretrained("MBMMurad/wav2vec2_murad_with_some_new_data")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2_murad_with_some_new_data / language_model
8.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
MBMMurad's picture
MBMMurad
Upload new lm-boosted decoder
adaa392 over 3 years ago
  • 6gram.bin
    8.32 GB
    xet
    Upload new lm-boosted decoder over 3 years ago
  • attrs.json
    78 Bytes
    Upload new lm-boosted decoder over 3 years ago
  • unigrams.txt
    106 MB
    xet
    Upload new lm-boosted decoder over 3 years ago