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arthoho66
/
model_test_002

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use arthoho66/model_test_002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arthoho66/model_test_002 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arthoho66/model_test_002")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("arthoho66/model_test_002")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("arthoho66/model_test_002")
  • Notebooks
  • Google Colab
  • Kaggle
model_test_002
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  • 1 contributor
History: 2 commits
arthoho66's picture
arthoho66
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  • .gitattributes
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • normalizer.json
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  • optimizer.pt
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  • preprocessor_config.json
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  • rng_state.pth
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  • scheduler.pt
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
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  • vocab.json
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