Turn Detector Model

Introduction

This document provides information about the Turn Detector model hosted on Hugging Face's Model Hub. The model details and usage guidelines are summarized for users interested in understanding and deploying the model.

Architecture

The architecture and detailed objectives of the Turn Detector model require further specification. The model is associated with the transformers library, but other architectural details are not provided.

Training

Training Data

Information regarding the training data used for this model is not specified.

Training Procedure

• Preprocessing: Details are not available.
• Training Hyperparameters: The training regime and specific hyperparameters are not described.

Evaluation

• Testing Data, Factors & Metrics: Specific metrics and testing data used to evaluate the model are not provided.
• Results: Evaluation results are not detailed.

Guide: Running Locally

1. Setup Environment:
   • Install the transformers library using pip:

     pip install transformers
     

2. Download Model:
   • Use Hugging Face's transformers library to load the model:

     from transformers import AutoModel
     model = AutoModel.from_pretrained("livekit/turn-detector")
     

3. Cloud GPUs:
   • For optimal performance, consider using cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure.

License

The licensing details of the Turn Detector model are not specified and need further information.