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nrshoudi
/
hubert-large-ls960-ft-V2

Automatic Speech Recognition
Transformers
Safetensors
hubert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use nrshoudi/hubert-large-ls960-ft-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nrshoudi/hubert-large-ls960-ft-V2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nrshoudi/hubert-large-ls960-ft-V2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("nrshoudi/hubert-large-ls960-ft-V2")
    model = AutoModelForCTC.from_pretrained("nrshoudi/hubert-large-ls960-ft-V2")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-large-ls960-ft-V2
1.26 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
nrshoudi's picture
nrshoudi
End of training
b848a36 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.8 kB
    End of training over 2 years ago
  • added_tokens.json
    30 Bytes
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  • config.json
    1.56 kB
    End of training over 2 years ago
  • model.safetensors
    1.26 GB
    xet
    End of training over 2 years ago
  • preprocessor_config.json
    254 Bytes
    End of training over 2 years ago
  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    1.14 kB
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  • trainer_state.json
    8.72 kB
    End of training over 2 years ago
  • training_args.bin
    4.6 kB
    xet
    End of training over 2 years ago
  • vocab.json
    458 Bytes
    Upload tokenizer over 2 years ago