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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 / tokenizer
5.63 MB
Ctrl+K
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  • 2 contributors
History: 7 commits
Daporte's picture
Daporte
Upload tokenizer/special_tokens_map.json with huggingface_hub
af251ce verified 7 days ago
  • added_tokens.json
    34.6 kB
    Upload tokenizer/added_tokens.json with huggingface_hub 7 days ago
  • merges.txt
    494 kB
    Upload tokenizer/merges.txt with huggingface_hub 7 days ago
  • normalizer.json
    52.7 kB
    Upload tokenizer/normalizer.json with huggingface_hub 7 days ago
  • special_tokens_map.json
    2.19 kB
    Upload tokenizer/special_tokens_map.json with huggingface_hub 7 days ago
  • tokenizer.json
    3.93 MB
    Upload tokenizer/tokenizer.json with huggingface_hub 7 days ago
  • tokenizer_config.json
    283 kB
    Upload tokenizer/tokenizer_config.json with huggingface_hub 7 days ago
  • vocab.json
    836 kB
    Upload tokenizer/vocab.json with huggingface_hub 7 days ago