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emon-j
/
Bengali-Whsiper

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

Instructions to use emon-j/Bengali-Whsiper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emon-j/Bengali-Whsiper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="emon-j/Bengali-Whsiper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("emon-j/Bengali-Whsiper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("emon-j/Bengali-Whsiper")
  • Notebooks
  • Google Colab
  • Kaggle
Bengali-Whsiper
3.38 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
emon-j's picture
emon-j
Upload largev2dec.bin
45d2bdf verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1 Bytes
    Update README.md over 2 years ago
  • added_tokens.json
    34.6 kB
    Upload 12 files over 2 years ago
  • config.json
    1.31 kB
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  • generation_config.json
    3.77 kB
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  • largev2dec.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    3.09 GB
    xet
    Upload largev2dec.bin over 1 year ago
  • merges.txt
    494 kB
    Upload 12 files over 2 years ago
  • model.safetensors
    290 MB
    xet
    Upload 12 files over 2 years ago
  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    339 Bytes
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  • special_tokens_map.json
    2.08 kB
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  • tokenizer.json
    2.48 MB
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  • tokenizer_config.json
    805 Bytes
    Upload 12 files over 2 years ago
  • vocab.json
    836 kB
    Upload 12 files over 2 years ago