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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
6.18 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
5roop's picture
5roop
End of training
5919e0d verified about 2 years ago
  • processor
    End of training about 2 years ago
  • runs
    End of training about 2 years ago
  • tokenizer
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.1 kB
    End of training about 2 years ago
  • config.json
    1.32 kB
    End of training about 2 years ago
  • generation_config.json
    3.92 kB
    End of training about 2 years ago
  • model-00001-of-00002.safetensors
    4.99 GB
    xet
    End of training about 2 years ago
  • model-00002-of-00002.safetensors
    1.18 GB
    xet
    End of training about 2 years ago
  • model.safetensors.index.json
    112 kB
    End of training about 2 years ago
  • preprocessor_config.json
    340 Bytes
    End of training about 2 years ago
  • training_args.bin
    4.54 kB
    xet
    End of training about 2 years ago