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lgris
/
bp-sid10-xlsr

Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Model card Files Files and versions
xet
Community
1

Instructions to use lgris/bp-sid10-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lgris/bp-sid10-xlsr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lgris/bp-sid10-xlsr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("lgris/bp-sid10-xlsr")
    model = AutoModelForCTC.from_pretrained("lgris/bp-sid10-xlsr")
  • Notebooks
  • Google Colab
  • Kaggle
bp-sid10-xlsr
1.26 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
lgris's picture
lgris
Upload sid10_xlsr.ipynb
4284d50 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    9.17 kB
    Create README.md over 4 years ago
  • config.json
    1.67 kB
    Update from gris over 4 years ago
  • preprocessor_config.json
    212 Bytes
    Update from gris over 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Update from gris over 4 years ago
  • sid10_xlsr.ipynb
    1.13 MB
    Upload sid10_xlsr.ipynb over 4 years ago
  • special_tokens_map.json
    85 Bytes
    Update from gris over 4 years ago
  • tokenizer_config.json
    181 Bytes
    Update from gris over 4 years ago
  • vocab.json
    411 Bytes
    Update from gris over 4 years ago