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KBLab
/
asr-voxrex-bart-base

Automatic Speech Recognition
Transformers
PyTorch
speech-encoder-decoder
Generated from Trainer
asr_seq2seq
Model card Files Files and versions
xet
Community
1

Instructions to use KBLab/asr-voxrex-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KBLab/asr-voxrex-bart-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="KBLab/asr-voxrex-bart-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("KBLab/asr-voxrex-bart-base")
    model = AutoModelForMultimodalLM.from_pretrained("KBLab/asr-voxrex-bart-base")
  • Notebooks
  • Google Colab
  • Kaggle
asr-voxrex-bart-base
1.73 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
marma's picture
marma
Update README.md
2200910 over 4 years ago
  • .gitattributes
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  • .gitignore
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  • README.md
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  • all_results.json
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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