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Akashpb13
/
Galician_xlsr

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

Instructions to use Akashpb13/Galician_xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Akashpb13/Galician_xlsr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Akashpb13/Galician_xlsr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Akashpb13/Galician_xlsr")
    model = AutoModelForCTC.from_pretrained("Akashpb13/Galician_xlsr")
  • Notebooks
  • Google Colab
  • Kaggle
Galician_xlsr
1.26 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 20 commits
anton-l's picture
anton-l HF Staff
Upload README.md
6d7c65b about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    4.22 kB
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  • config.json
    2.03 kB
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  • eval.py
    4.98 kB
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  • log_mozilla-foundation_common_voice_8_0_gl_test_predictions.txt
    141 kB
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  • log_mozilla-foundation_common_voice_8_0_gl_test_targets.txt
    141 kB
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  • mozilla-foundation_common_voice_8_0_gl_test_eval_results.txt
    50 Bytes
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  • preprocessor_config.json
    256 Bytes
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  • pytorch_model.bin
    1.26 GB
    xet
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  • special_tokens_map.json
    85 Bytes
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  • tokenizer_config.json
    221 Bytes
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  • vocab.json
    358 Bytes
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