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Soupis
/
BaseB

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

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

  • Libraries
  • Transformers

    How to use Soupis/BaseB with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Soupis/BaseB")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Soupis/BaseB")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/BaseB")
  • Notebooks
  • Google Colab
  • Kaggle
BaseB
292 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
sant
End of training
0453e94 verified almost 2 years ago
  • runs
    Training in progress, step 1000 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.48 kB
    End of training almost 2 years ago
  • added_tokens.json
    34.6 kB
    Training in progress, step 500 almost 2 years ago
  • config.json
    2.26 kB
    Training in progress, step 500 almost 2 years ago
  • generation_config.json
    3.8 kB
    End of training almost 2 years ago
  • merges.txt
    494 kB
    Training in progress, step 500 almost 2 years ago
  • model.safetensors
    290 MB
    xet
    Training in progress, step 1000 almost 2 years ago
  • normalizer.json
    52.7 kB
    Training in progress, step 500 almost 2 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 500 almost 2 years ago
  • special_tokens_map.json
    2.19 kB
    Training in progress, step 500 almost 2 years ago
  • tokenizer_config.json
    283 kB
    Training in progress, step 500 almost 2 years ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, step 500 almost 2 years ago
  • vocab.json
    1.04 MB
    Training in progress, step 500 almost 2 years ago