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jacobjwebber
/
w2v-bert-2.0-yiddish_reyd

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use jacobjwebber/w2v-bert-2.0-yiddish_reyd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jacobjwebber/w2v-bert-2.0-yiddish_reyd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="jacobjwebber/w2v-bert-2.0-yiddish_reyd")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("jacobjwebber/w2v-bert-2.0-yiddish_reyd")
    model = AutoModelForCTC.from_pretrained("jacobjwebber/w2v-bert-2.0-yiddish_reyd", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • runs
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • model.safetensors
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    xet
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • training_args.bin
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    xet
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  • vocab.json
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