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arampacha
/
wav2vec2-xls-r-300m-hy

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Armenian
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use arampacha/wav2vec2-xls-r-300m-hy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arampacha/wav2vec2-xls-r-300m-hy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arampacha/wav2vec2-xls-r-300m-hy")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("arampacha/wav2vec2-xls-r-300m-hy")
    model = AutoModelForCTC.from_pretrained("arampacha/wav2vec2-xls-r-300m-hy", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-300m-hy / language_model
890 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
arampacha's picture
arampacha
tarined model
254a189 almost 5 years ago
  • 5gram.bin
    880 MB
    xet
    tarined model almost 5 years ago
  • attrs.json
    78 Bytes
    lm-boosted decoder almost 5 years ago
  • unigrams.txt
    10.1 MB
    tarined model almost 5 years ago