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ghofrani
/
common7

Automatic Speech Recognition
Transformers
PyTorch
Persian
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use ghofrani/common7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ghofrani/common7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ghofrani/common7")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ghofrani/common7")
    model = AutoModelForCTC.from_pretrained("ghofrani/common7", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
common7
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 54 commits
ghofrani's picture
ghofrani
update model card README.md
9197cd4 over 4 years ago
  • .gitattributes
    1.18 kB
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  • .gitignore
    13 Bytes
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  • README.md
    4.29 kB
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  • added_tokens.json
    25 Bytes
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  • all_results.json
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  • config.json
    2.03 kB
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  • eval_results.json
    226 Bytes
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  • preprocessor_config.json
    212 Bytes
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  • pytorch_model.bin
    1.26 GB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer_config.json
    266 Bytes
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  • train_results.json
    200 Bytes
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  • trainer_state.json
    292 kB
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  • training_args.bin
    2.99 kB
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  • vocab.json
    1.26 kB
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