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humeur
/
lab2_id2223

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use humeur/lab2_id2223 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use humeur/lab2_id2223 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="humeur/lab2_id2223")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("humeur/lab2_id2223")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("humeur/lab2_id2223", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lab2_id2223
7.74 GB
Ctrl+K
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  • 1 contributor
History: 31 commits
humeur's picture
humeur
Update lab2_id2223/config.json
1269371 almost 4 years ago
  • checkpoint-3000
    Trainer step-3000 almost 4 years ago
  • checkpoint-4000
    Training in progress, step 4000 almost 4 years ago
  • lab2_id2223
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  • runs
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  • .gitattributes
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  • .gitignore
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  • README.md
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  • added_tokens.json
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  • config.json
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  • merges.txt
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  • normalizer.json
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  • preprocessor_config.json
    185 kB
    Training in progress, step 4000 almost 4 years ago
  • pytorch_model.bin
    967 MB
    xet
    Training in progress, step 4000 almost 4 years ago
  • special_tokens_map.json
    2.06 kB
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  • tokenizer_config.json
    829 Bytes
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  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 4000 almost 4 years ago
  • vocab.json
    1.04 MB
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