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anzorq
/
w2v-bert-2.0-kbd

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

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

  • Libraries
  • Transformers

    How to use anzorq/w2v-bert-2.0-kbd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="anzorq/w2v-bert-2.0-kbd")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("anzorq/w2v-bert-2.0-kbd")
    model = AutoModelForCTC.from_pretrained("anzorq/w2v-bert-2.0-kbd", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
w2v-bert-2.0-kbd
2.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
anzorq's picture
anzorq
Upload 4 files
3f5c2d2 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.87 kB
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  • added_tokens.json
    30 Bytes
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  • config.json
    1.91 kB
    Training in progress, step 1000 over 2 years ago
  • model.safetensors
    2.42 GB
    xet
    Training in progress, step 5000 over 2 years ago
  • preprocessor_config.json
    231 Bytes
    Training in progress, step 1000 over 2 years ago
  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    1.1 kB
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  • training_args.bin
    4.92 kB
    xet
    Training in progress, step 1000 over 2 years ago
  • vocab.json
    569 Bytes
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