Intent Classification Model

This is a fine-tuned SentenceTransformer model for intent classification. It was trained on custom intent data including navigation, media controls, library management, and protocol activation commands.

Usage

from sentence_transformers import SentenceTransformer
model = SentenceTransformer('drithh/intent-classifier')
embeddings = model.encode("go to London")

Supported Intents

Navigation: go to LOCATION, navigate to LOCATION
Atlas: open atlas, launch atlas
Map Controls: select LOCATION, show boundaries, hide boundaries
Library: open library, close library, go to video NUMBER
Media Controls: play video, pause video, rewind, forward
News: show news LOCATION, hide news
Protocols: activate PROTOCOL, deactivate PROTOCOL

Model Details

Base Model: sentence-transformers/paraphrase-MiniLM-L3-v2
Fine-tuning: Cosine similarity loss
Embedding Dimensions: 384
Training Data: 139,128 training pairs