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5roop
/
output

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

Instructions to use 5roop/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 5roop/output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="5roop/output")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("5roop/output")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("5roop/output")
  • Notebooks
  • Google Colab
  • Kaggle
output / processor
1.9 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
5roop's picture
5roop
End of training
b39289f verified about 2 years ago
  • added_tokens.json
    34.6 kB
    End of training about 2 years ago
  • merges.txt
    494 kB
    End of training about 2 years ago
  • normalizer.json
    52.7 kB
    End of training about 2 years ago
  • preprocessor_config.json
    340 Bytes
    End of training about 2 years ago
  • special_tokens_map.json
    2.19 kB
    End of training about 2 years ago
  • tokenizer_config.json
    283 kB
    End of training about 2 years ago
  • vocab.json
    1.04 MB
    End of training about 2 years ago