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arampacha
/
wav2vec2-xls-r-1b-ka

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Georgian
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
2

Instructions to use arampacha/wav2vec2-xls-r-1b-ka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arampacha/wav2vec2-xls-r-1b-ka with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arampacha/wav2vec2-xls-r-1b-ka")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("arampacha/wav2vec2-xls-r-1b-ka")
    model = AutoModelForCTC.from_pretrained("arampacha/wav2vec2-xls-r-1b-ka", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-1b-ka
5.55 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
anton-l's picture
anton-l HF Staff
Upload README.md
8c9615d over 4 years ago
  • language_model
    lm eval over 4 years ago
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • eval_results.json
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  • mozilla-foundation_common_voice_8_0_ka_test_eval_results.txt
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • run.sh
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  • run_speech_recognition_ctc.py
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  • training_args.bin
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