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fractalego
/
personal-speech-to-text-model

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use fractalego/personal-speech-to-text-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fractalego/personal-speech-to-text-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="fractalego/personal-speech-to-text-model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("fractalego/personal-speech-to-text-model")
    model = AutoModelForCTC.from_pretrained("fractalego/personal-speech-to-text-model")
  • Notebooks
  • Google Colab
  • Kaggle
personal-speech-to-text-model
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
fractalego's picture
fractalego
add model
396a3cd over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    246 Bytes
    Create README.md over 4 years ago
  • config.json
    1.89 kB
    add model over 4 years ago
  • preprocessor_config.json
    212 Bytes
    Upload preprocessor_config.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    1.26 GB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    85 Bytes
    add tokenizer over 4 years ago
  • tokenizer_config.json
    471 Bytes
    add tokenizer over 4 years ago
  • vocab.json
    291 Bytes
    add tokenizer over 4 years ago