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minjibi
/
aa

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 minjibi/aa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use minjibi/aa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="minjibi/aa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("minjibi/aa")
    model = AutoModelForCTC.from_pretrained("minjibi/aa")
  • Notebooks
  • Google Colab
  • Kaggle
aa
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
minjibi's picture
minjibi
update model card README.md
fad13c2 over 3 years ago
  • runs
    aa over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 20 over 3 years ago
  • README.md
    1.53 kB
    update model card README.md over 3 years ago
  • config.json
    2.27 kB
    Training in progress, step 20 over 3 years ago
  • preprocessor_config.json
    256 Bytes
    Upload processor over 3 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Training in progress, step 60 over 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload processor over 3 years ago
  • tokenizer_config.json
    278 Bytes
    Upload processor over 3 years ago
  • training_args.bin
    3.31 kB
    xet
    Training in progress, step 20 over 3 years ago
  • vocab.json
    827 Bytes
    Upload processor over 3 years ago