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aconeil
/
w2v2-queyu

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use aconeil/w2v2-queyu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aconeil/w2v2-queyu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="aconeil/w2v2-queyu")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("aconeil/w2v2-queyu")
    model = AutoModelForCTC.from_pretrained("aconeil/w2v2-queyu")
  • Notebooks
  • Google Colab
  • Kaggle
w2v2-queyu
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
aconeil's picture
aconeil
End of training
5544f23 verified 3 months ago
  • runs
    End of training 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.38 kB
    End of training 3 months ago
  • added_tokens.json
    30 Bytes
    Upload tokenizer 3 months ago
  • config.json
    2.24 kB
    Training in progress, step 400 3 months ago
  • model.safetensors
    1.26 GB
    xet
    End of training 3 months ago
  • preprocessor_config.json
    254 Bytes
    Upload processor 3 months ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    1.13 kB
    Upload processor 3 months ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 400 3 months ago
  • vocab.json
    811 Bytes
    Upload tokenizer 3 months ago