Triptuner Model
This model is trained to generate itineraries for locations in Sri Lanka's Central Province. It uses a custom transformer-based language model designed to handle character-level sequences.
Usage
The model can generate location-specific itineraries by providing a starting prompt of a location name.
Training Data
The model was trained on a dataset containing information about various locations in Sri Lanka's Central Province.
Model Architecture
- Number of Layers: 4
- Embedding Size: 64
- Number of Heads: 4
- Context Length: 32 tokens
License
MIT License