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mpoyraz
/
wav2vec2-xls-r-300m-cv7-turkish

Automatic Speech Recognition
Transformers
PyTorch
Turkish
wav2vec2
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use mpoyraz/wav2vec2-xls-r-300m-cv7-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mpoyraz/wav2vec2-xls-r-300m-cv7-turkish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mpoyraz/wav2vec2-xls-r-300m-cv7-turkish")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("mpoyraz/wav2vec2-xls-r-300m-cv7-turkish")
    model = AutoModelForCTC.from_pretrained("mpoyraz/wav2vec2-xls-r-300m-cv7-turkish", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-300m-cv7-turkish
1.76 GB
Ctrl+K
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  • 2 contributors
History: 9 commits
anton-l's picture
anton-l HF Staff
Upload README.md
708639f over 4 years ago
  • language_model
    add LM model files over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.55 kB
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  • alphabet.json
    232 Bytes
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  • config.json
    2.04 kB
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  • eval.py
    5.24 kB
    add evaluation script and results over 4 years ago
  • preprocessor_config.json
    260 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
    181 Bytes
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  • vocab.json
    351 Bytes
    add wav2vec2 model over 4 years ago