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livekit
/
turn-detector

Text Classification
Transformers
ONNX
Safetensors
llama
text-generation
voice-ai
turn-detection
end-of-utterance
end-of-turn
conversational-ai
livekit
quantized
knowledge-distillation
text-embeddings-inference
Model card Files Files and versions
xet
Community
6

Instructions to use livekit/turn-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use livekit/turn-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="livekit/turn-detector")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("livekit/turn-detector")
    model = AutoModelForCausalLM.from_pretrained("livekit/turn-detector", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
turn-detector
538 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
jeradf's picture
jeradf
Upload LlamaForCausalLM
f9967f2 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload LlamaForCausalLM almost 2 years ago
  • config.json
    791 Bytes
    Upload LlamaForCausalLM almost 2 years ago
  • generation_config.json
    111 Bytes
    Upload LlamaForCausalLM almost 2 years ago
  • model.safetensors
    538 MB
    xet
    Upload LlamaForCausalLM almost 2 years ago