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Akashpb13
/
Kabyle_xlsr

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Kabyle
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
sw
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use Akashpb13/Kabyle_xlsr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Akashpb13/Kabyle_xlsr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Akashpb13/Kabyle_xlsr")
    model = AutoModelForCTC.from_pretrained("Akashpb13/Kabyle_xlsr")
  • Notebooks
  • Google Colab
  • Kaggle
Kabyle_xlsr
2.53 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 10 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
5f83489 about 3 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • eval.py
    4.99 kB
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  • log_mozilla-foundation_common_voice_8_0_kab_test_predictions.txt
    511 kB
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  • log_mozilla-foundation_common_voice_8_0_kab_test_targets.txt
    515 kB
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  • model.safetensors
    1.26 GB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • mozilla-foundation_common_voice_8_0_kab_test_eval_results.txt
    48 Bytes
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
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  • special_tokens_map.json
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  • tokenizer_config.json
    221 Bytes
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  • vocab.json
    546 Bytes
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