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nullonesix
/
training

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use nullonesix/training with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nullonesix/training")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("nullonesix/training")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("nullonesix/training")
  • Notebooks
  • Google Colab
  • Kaggle
training / flax /long_form_transcription_scripts
12.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
nullonesix's picture
nullonesix
Saving train state of step 1
a1be16b verified almost 2 years ago
  • test
    Saving train state of step 1 almost 2 years ago
  • run_chunk_length_s_sweep.yaml
    966 Bytes
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  • run_eval_with_pipeline.sh
    1.35 kB
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  • run_length_penalty_sweep.yaml
    958 Bytes
    Saving train state of step 1 almost 2 years ago
  • run_tedlium_long_form.sh
    688 Bytes
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  • run_tedlium_long_form_dummy.sh
    612 Bytes
    Saving train state of step 1 almost 2 years ago
  • run_tedlium_long_form_timestamps.sh
    733 Bytes
    Saving train state of step 1 almost 2 years ago
  • run_top_k_temperature_sweep.yaml
    1.01 kB
    Saving train state of step 1 almost 2 years ago