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powervel
/
draft_3

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

Instructions to use powervel/draft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use powervel/draft_3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="powervel/draft_3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("powervel/draft_3")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("powervel/draft_3")
  • Notebooks
  • Google Colab
  • Kaggle
draft_3
969 MB
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  • 1 contributor
History: 5 commits
powervel's picture
powervel
Upload processor
027d652 verified 6 months ago
  • runs
    End of training 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    1.24 kB
    End of training 6 months ago
  • added_tokens.json
    34.6 kB
    Upload processor 6 months ago
  • config.json
    1.38 kB
    End of training 6 months ago
  • generation_config.json
    3.84 kB
    End of training 6 months ago
  • merges.txt
    494 kB
    Upload processor 6 months ago
  • model.safetensors
    967 MB
    xet
    End of training 6 months ago
  • normalizer.json
    52.7 kB
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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_config.json
    283 kB
    Upload processor 6 months ago
  • training_args.bin
    5.43 kB
    xet
    End of training 6 months ago
  • vocab.json
    1.04 MB
    Upload processor 6 months ago