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hf-internal-testing
/
tiny-random-VoxtralRealtimeForConditionalGeneration

Automatic Speech Recognition
Transformers
ONNX
Safetensors
voxtral_realtime
Model card Files Files and versions
xet
Community

Instructions to use hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-VoxtralRealtimeForConditionalGeneration
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  • 1 contributor
History: 1 commit
tomaarsen's picture
tomaarsen HF Staff
initial commit
ccf5097 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago