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molto
/
molto_park

Automatic Speech Recognition
Transformers
PyTorch
hubert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use molto/molto_park with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="molto/molto_park")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("molto/molto_park")
    model = AutoModelForCTC.from_pretrained("molto/molto_park")
  • Notebooks
  • Google Colab
  • Kaggle
molto_park
2.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
c7ff511 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Initial commit about 3 years ago
  • config.json
    1.56 kB
    Initial commit about 3 years ago
  • model.safetensors
    1.27 GB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Initial commit about 3 years ago
  • pytorch_model.bin
    1.27 GB
    xet
    Initial commit about 3 years ago
  • special_tokens_map.json
    96 Bytes
    Initial commit about 3 years ago
  • tokenizer_config.json
    278 Bytes
    Initial commit about 3 years ago
  • training_args.bin
    3.44 kB
    xet
    Initial commit about 3 years ago
  • vocab.json
    33.8 kB
    Initial commit about 3 years ago