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CWKSC
/
whisper-small-onnx-quantized

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

Instructions to use CWKSC/whisper-small-onnx-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CWKSC/whisper-small-onnx-quantized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="CWKSC/whisper-small-onnx-quantized")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("CWKSC/whisper-small-onnx-quantized")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("CWKSC/whisper-small-onnx-quantized")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-onnx-quantized
419 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
CWKSC's picture
CWKSC
Upload tokenizer
8c6de42 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    34.6 kB
    Upload added_tokens.json with huggingface_hub over 2 years ago
  • config.json
    2.32 kB
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  • decoder_model_merged_quantized.onnx
    316 MB
    xet
    Upload decoder_model_merged_quantized.onnx with huggingface_hub over 2 years ago
  • encoder_model_quantized.onnx
    98.2 MB
    xet
    Upload encoder_model_quantized.onnx with huggingface_hub over 2 years ago
  • merges.txt
    494 kB
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  • normalizer.json
    52.7 kB
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  • ort_config.json
    728 Bytes
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  • preprocessor_config.json
    339 Bytes
    Upload preprocessor_config.json with huggingface_hub over 2 years ago
  • special_tokens_map.json
    1.74 kB
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  • tokenizer.json
    2.48 MB
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  • tokenizer_config.json
    279 kB
    Upload tokenizer_config.json with huggingface_hub over 2 years ago
  • vocab.json
    1.04 MB
    Upload vocab.json with huggingface_hub over 2 years ago