drithh/intent-classifier
028
1---2language: en3tags:4- sentence-transformers5- intent-classification6- feature-extraction7license: mit8datasets:9- custom10metrics:11- cosine-similarity12---13 14# Intent Classification Model15 16This 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.17 18## Usage19 20```python21from sentence_transformers import SentenceTransformer22model = SentenceTransformer('drithh/intent-classifier')23embeddings = model.encode("go to London")24```25 26## Supported Intents27 28- **Navigation**: go to LOCATION, navigate to LOCATION29- **Atlas**: open atlas, launch atlas30- **Map Controls**: select LOCATION, show boundaries, hide boundaries31- **Library**: open library, close library, go to video NUMBER32- **Media Controls**: play video, pause video, rewind, forward33- **News**: show news LOCATION, hide news34- **Protocols**: activate PROTOCOL, deactivate PROTOCOL35 36## Model Details37 38- **Base Model**: sentence-transformers/paraphrase-MiniLM-L3-v239- **Fine-tuning**: Cosine similarity loss40- **Embedding Dimensions**: 38441- **Training Data**: 139,128 training pairs42 