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x-square-robot
/
X2-Turn-4B-0812

Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
voxtral_realtime
realtime
turn-taking
speech-recognition
voice-assistant
endpointing
barge-in
Model card Files Files and versions
xet
Community

Instructions to use x-square-robot/X2-Turn-4B-0812 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use x-square-robot/X2-Turn-4B-0812 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="x-square-robot/X2-Turn-4B-0812")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("x-square-robot/X2-Turn-4B-0812")
    model = AutoModelForMultimodalLM.from_pretrained("x-square-robot/X2-Turn-4B-0812", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
X2-Turn-4B-0812
Ctrl+K
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  • 1 contributor
History: 14 commits
Kaiqfu's picture
Kaiqfu
Add paper-to-inference turn label mapping table
d188a8b verified 2 days ago
  • .gitattributes
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  • LICENSE
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  • NOTICE
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  • README.md
    8.65 kB
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  • config.json
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  • generation_config.json
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  • model.safetensors
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  • params.json
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  • processor_config.json
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  • tekken.json
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  • training_args.bin
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