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gdimino
/
voxpopuli_base_it_2

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
2

Instructions to use gdimino/voxpopuli_base_it_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gdimino/voxpopuli_base_it_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="gdimino/voxpopuli_base_it_2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("gdimino/voxpopuli_base_it_2")
    model = AutoModelForCTC.from_pretrained("gdimino/voxpopuli_base_it_2")
  • Notebooks
  • Google Colab
  • Kaggle
voxpopuli_base_it_2 / language_model
2.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
gdimino's picture
gdimino
Upload lm-boosted base decoder
6eb71b9 over 4 years ago
  • 5gram.bin
    2.22 GB
    xet
    Upload lm-boosted base decoder over 4 years ago
  • attrs.json
    78 Bytes
    Upload lm-boosted base decoder over 4 years ago
  • unigrams.txt
    2.53 MB
    Upload lm-boosted base decoder over 4 years ago