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futo-org
/
asr4all-l

Automatic Speech Recognition
Transformers
ONNX
Safetensors
ExecuTorch
English
asr4all
feature-extraction
speech
ctc
streaming
on-device
edge
custom_code
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
1

Instructions to use futo-org/asr4all-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use futo-org/asr4all-l with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="futo-org/asr4all-l", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("futo-org/asr4all-l", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
asr4all-l / executorch
499 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
lee-futo's picture
lee-futo
benchmarks at a single operating point (c256r64); large: new PCEC
6f3d662 verified 30 days ago
  • xnnpack_fp32
    benchmarks at a single operating point (c256r64); large: new PCEC 30 days ago
  • xnnpack_int8
    benchmarks at a single operating point (c256r64); large: new PCEC 30 days ago
  • asr4all_executorch.py
    23.2 kB
    asr4all-l: streaming trunk + PCEC + wake VAD; ONNX per-component graphs about 1 month ago