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Plim
/
test_lm

Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Plim/test_lm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Plim/test_lm")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Plim/test_lm")
    model = AutoModelForCTC.from_pretrained("Plim/test_lm")
  • Notebooks
  • Google Colab
  • Kaggle
test_lm / language_model
2.08 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Plim's picture
Plim
initial commit
e172c69 over 4 years ago
  • 5gram.bin
    2.08 GB
    xet
    initial commit over 4 years ago
  • attrs.json
    78 Bytes
    initial commit over 4 years ago
  • unigrams.txt
    1.61 MB
    initial commit over 4 years ago