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sammy786
/
wav2vec2-xlsr-bashkir

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

Instructions to use sammy786/wav2vec2-xlsr-bashkir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sammy786/wav2vec2-xlsr-bashkir with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="sammy786/wav2vec2-xlsr-bashkir")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("sammy786/wav2vec2-xlsr-bashkir")
    model = AutoModelForCTC.from_pretrained("sammy786/wav2vec2-xlsr-bashkir")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xlsr-bashkir
3.85 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
anton-l's picture
anton-l HF Staff
Upload README.md
9503ad1 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.49 kB
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  • config.json
    2.03 kB
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  • eval.py
    4.57 kB
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  • log_mozilla-foundation_common_voice_8_0_ba_test_predictions.txt
    1.15 MB
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  • log_mozilla-foundation_common_voice_8_0_ba_test_targets.txt
    1.15 MB
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  • mozilla-foundation_common_voice_8_0_ba_test_eval_results.txt
    50 Bytes
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  • preprocessor_config.json
    256 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    3.85 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
    520 Bytes
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