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voidful
/
latentASR

Automatic Speech Recognition
Transformers
qwen3-asr
latent-reasoning
test-time-compute
parameter-efficient
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use voidful/latentASR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="voidful/latentASR")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("voidful/latentASR", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
latentASR / scripts
112 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
voidful's picture
voidful
Release latentASR adapter, code, docs, and reproducibility artifacts
262fa3f verified 3 months ago
  • analysis
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • hparam
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • README.md
    490 Bytes
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • measure_latency.py
    8.5 kB
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • summarize_lr_showcase.py
    7.92 kB
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • summarize_paper_tbd.py
    9.78 kB
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • summarize_threshold_sweep.py
    8.43 kB
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago
  • write_full_asr_experiment_report.py
    18.5 kB
    Release latentASR adapter, code, docs, and reproducibility artifacts 3 months ago