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arijitx
/
whisper-base-bn-trans

Automatic Speech Recognition
Transformers
PyTorch
whisper
audio
hf-asr-leaderboard
Model card Files Files and versions
xet
Community
2

Instructions to use arijitx/whisper-base-bn-trans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arijitx/whisper-base-bn-trans with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arijitx/whisper-base-bn-trans")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("arijitx/whisper-base-bn-trans")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("arijitx/whisper-base-bn-trans")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base-bn-trans
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  • 1 contributor
History: 9 commits
arijitx's picture
arijitx
Update README.md
8fec584 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    14.8 kB
    Update README.md over 3 years ago
  • added_tokens.json
    2.11 kB
    test over 3 years ago
  • config.json
    1.97 kB
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  • merges.txt
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    290 MB
    xet
    convert model over 3 years ago
  • special_tokens_map.json
    2.06 kB
    test over 3 years ago
  • tokenizer_config.json
    827 Bytes
    test over 3 years ago
  • vocab.json
    1.04 MB
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