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jlvdoorn
/
whisper-tiny-atcosim

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use jlvdoorn/whisper-tiny-atcosim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jlvdoorn/whisper-tiny-atcosim with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="jlvdoorn/whisper-tiny-atcosim")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("jlvdoorn/whisper-tiny-atcosim")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("jlvdoorn/whisper-tiny-atcosim", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-atcosim
306 MB
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  • 2 contributors
History: 30 commits
jlvdoorn's picture
jlvdoorn
Upload 4 files
3f6c1b0 verified over 2 years ago
  • runs
    Training in progress, step 6000 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.06 kB
    Model save over 2 years ago
  • config.json
    1.31 kB
    Training in progress, step 1000 over 2 years ago
  • generation_config.json
    3.71 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    151 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 1000 over 2 years ago
  • pytorch_model.bin
    151 MB
    xet
    Model save over 2 years ago
  • special_tokens_map.json
    2.08 kB
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  • tokenizer.json
    2.48 MB
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  • training_args.bin
    4.86 kB
    xet
    Training in progress, step 1000 over 2 years ago
  • vocab.json
    836 kB
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