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
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")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("livekit/turn-detector") model = AutoModelForCausalLM.from_pretrained("livekit/turn-detector") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding multiple language support
#5 opened 7 months ago
by
devansh0803
v0.1.0-intl gives better results
#4 opened 12 months ago
by
fyasar
Inquiry on Upcoming Language Support and Fine-Tuning Feasibility
2
#2 opened over 1 year ago
by
johndili
HuggingFace Newbie - What input does this model expect?
12
#1 opened over 1 year ago
by
joe-muller