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Iskaj
/
hf-challenge-test

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Iskaj/hf-challenge-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Iskaj/hf-challenge-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Iskaj/hf-challenge-test")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Iskaj/hf-challenge-test")
    model = AutoModelForCTC.from_pretrained("Iskaj/hf-challenge-test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hf-challenge-test
317 kB
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  • 1 contributor
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
3c75dce verified over 1 year ago
  • runs
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  • .gitattributes
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  • .gitignore
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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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  • preprocessor_config.json
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  • pytorch_model.bin
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  • run.sh
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  • run_speech_recognition_ctc.py
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
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