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Daporte
/
prosody2text-weights

Automatic Speech Recognition
Transformers
Safetensors
prosody_to_text
feature-extraction
prosody
speech-recognition
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Daporte/prosody2text-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Daporte/prosody2text-weights with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Daporte/prosody2text-weights", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Daporte/prosody2text-weights", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
prosody2text-weights / conformer
47 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Daporte's picture
Daporte
Upload conformer/model.safetensors with huggingface_hub
f5495f6 verified 6 days ago
  • model.safetensors
    47 MB
    xet
    Upload conformer/model.safetensors with huggingface_hub 6 days ago
  • model_config.json
    463 Bytes
    Upload conformer/model_config.json with huggingface_hub 6 days ago