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aconeil
/
w2v-bert-2.0-nchlt_mdd

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use aconeil/w2v-bert-2.0-nchlt_mdd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aconeil/w2v-bert-2.0-nchlt_mdd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="aconeil/w2v-bert-2.0-nchlt_mdd")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("aconeil/w2v-bert-2.0-nchlt_mdd")
    model = AutoModelForCTC.from_pretrained("aconeil/w2v-bert-2.0-nchlt_mdd")
  • Notebooks
  • Google Colab
  • Kaggle
w2v-bert-2.0-nchlt_mdd
2.42 GB
Ctrl+K
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  • 1 contributor
History: 111 commits
aconeil's picture
aconeil
End of training
2c8c4cf verified over 1 year ago
  • runs
    Training in progress, step 13860 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.82 kB
    End of training over 1 year ago
  • added_tokens.json
    30 Bytes
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  • config.json
    1.91 kB
    Training in progress, step 600 over 1 year ago
  • model.safetensors
    2.42 GB
    xet
    Training in progress, step 13860 over 1 year ago
  • preprocessor_config.json
    275 Bytes
    Upload processor over 1 year ago
  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    1.13 kB
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  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 600 over 1 year ago
  • vocab.json
    342 Bytes
    Upload tokenizer over 1 year ago