---
language: en
tags:
- sentence-transformers
- intent-classification
- feature-extraction
license: mit
datasets:
- custom
metrics:
- cosine-similarity
---

# 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

```python
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