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Bagus
/
wav2vec2-2-bart-base

Automatic Speech Recognition
Transformers
Safetensors
speech-encoder-decoder
Model card Files Files and versions
xet
Community

Instructions to use Bagus/wav2vec2-2-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Bagus/wav2vec2-2-bart-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Bagus/wav2vec2-2-bart-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq
    
    tokenizer = AutoTokenizer.from_pretrained("Bagus/wav2vec2-2-bart-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Bagus/wav2vec2-2-bart-base")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-2-bart-base
808 MB
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  • 1 contributor
History: 3 commits
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Bagus
Create README.md
0a797c3 verified almost 2 years ago
  • .gitattributes
    1.52 kB
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  • README.md
    50 Bytes
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  • config.json
    7.34 kB
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  • generation_config.json
    313 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    804 MB
    xet
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  • preprocessor_config.json
    257 Bytes
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  • run.py
    973 Bytes
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  • special_tokens_map.json
    279 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.28 kB
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  • vocab.json
    798 kB
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