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rossevine
/
Model_P_Wav2Vec2_Versi2

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rossevine/Model_P_Wav2Vec2_Versi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rossevine/Model_P_Wav2Vec2_Versi2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rossevine/Model_P_Wav2Vec2_Versi2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("rossevine/Model_P_Wav2Vec2_Versi2")
    model = AutoModelForCTC.from_pretrained("rossevine/Model_P_Wav2Vec2_Versi2")
  • Notebooks
  • Google Colab
  • Kaggle
Model_P_Wav2Vec2_Versi2 / language_model
9.21 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
rossevine's picture
rossevine
Upload lm-boosted decoder
42afd90 over 2 years ago
  • 5gramPerkuliahan.bin
    3.16 MB
    xet
    Upload lm-boosted decoder over 2 years ago
  • 5gramPerkuliahan_correct.arpa
    6.01 MB
    Upload lm-boosted decoder over 2 years ago
  • attrs.json
    78 Bytes
    Upload lm-boosted decoder over 2 years ago
  • unigrams.txt
    39.6 kB
    Upload lm-boosted decoder over 2 years ago