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AutoArk-AI
/
Audio8-ASR-0.1B

Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Model card Files Files and versions
xet
Community

Instructions to use AutoArk-AI/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AutoArk-AI/Audio8-ASR-0.1B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="AutoArk-AI/Audio8-ASR-0.1B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/Audio8-ASR-0.1B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Audio8-ASR-0.1B / examples
6.74 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
chua's picture
chua
Public release
25ae981 1 day ago
  • requirements.txt
    63 Bytes
    Public release 1 day ago
  • transcribe.py
    2.16 kB
    Public release 1 day ago
  • transcribe_hotword.py
    4.52 kB
    Public release 1 day ago