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antonvinny
/
gs3-test

Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
English
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use antonvinny/gs3-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use antonvinny/gs3-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="antonvinny/gs3-test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("antonvinny/gs3-test")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("antonvinny/gs3-test")
  • Notebooks
  • Google Colab
  • Kaggle
gs3-test / onnx
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  • 1 contributor
History: 2 commits
antonvinny's picture
antonvinny
Upload decoder_model_merged_quantized.onnx
be6ebc6 verified over 1 year ago
  • added_tokens.json
    34.6 kB
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  • config.json
    1.38 kB
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  • decoder_model_merged_quantized.onnx
    29.9 MB
    xet
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  • decoder_model_quantized.onnx
    49.8 MB
    xet
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  • decoder_with_past_model_quantized.onnx
    48.6 MB
    xet
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  • encoder_model_quantized.onnx
    10.1 MB
    xet
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  • merges.txt
    494 kB
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  • normalizer.json
    52.7 kB
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  • ort_config.json
    763 Bytes
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  • preprocessor_config.json
    339 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
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