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danielpedrozo
/
vozes-da-cabeca

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

Instructions to use danielpedrozo/vozes-da-cabeca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danielpedrozo/vozes-da-cabeca with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="danielpedrozo/vozes-da-cabeca")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("danielpedrozo/vozes-da-cabeca")
    model = AutoModelForCTC.from_pretrained("danielpedrozo/vozes-da-cabeca")
  • Notebooks
  • Google Colab
  • Kaggle
vozes-da-cabeca
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
danielpedrozo's picture
danielpedrozo
Upload checkpoint checkpoint-480
239abbc verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload checkpoint checkpoint-480 11 months ago
  • config.json
    2.25 kB
    Upload checkpoint checkpoint-480 11 months ago
  • model.safetensors
    1.26 GB
    xet
    Upload checkpoint checkpoint-480 11 months ago
  • preprocessor_config.json
    256 Bytes
    Upload checkpoint checkpoint-480 11 months ago
  • special_tokens_map.json
    544 Bytes
    Upload checkpoint checkpoint-480 11 months ago
  • tokenizer_config.json
    1.12 kB
    Upload checkpoint checkpoint-480 11 months ago
  • vocab.json
    525 Bytes
    Upload checkpoint checkpoint-480 11 months ago