---
library_name: transformers
tags:
- gpt2
- transformers
- text-generation
- adventure
- travel-itinerary
- custom-model
pipeline_tag: text-generation
---

# TripTuner: Adventure Travel Itinerary Generator for Central Province, Sri Lanka

## Overview

**TripTuner** is a custom-trained GPT-2 model designed to generate personalized adventure travel itineraries specifically for locations within the Central Province of Sri Lanka. The model is fine-tuned to provide detailed descriptions of adventure activities such as trekking, hiking, camping, and exploring scenic views, making it ideal for travel enthusiasts and tour planners.

## Model Details

- **Model Type**: GPT-2
- **Library**: Transformers by Hugging Face
- **Use Case**: Text generation focused on adventure travel itineraries
- **Languages**: English
- **Base Model**: GPT-2
- **Training Data**: The model was fine-tuned on a custom dataset of adventure activities in various locations within Sri Lanka's Central Province.

## How to Use

You can use this model directly with the Hugging Face Inference API or load it into your Python environment using the Transformers library.

### Using the Inference API

You can test the model directly via the Hugging Face platform by clicking on the "Inference API" tab.

### Using Transformers Pipeline

```python
from transformers import pipeline

# Load the text generation pipeline using the uploaded model from Hugging Face
generator = pipeline('text-generation', model='yoonusajward01/triptuner')

# Test the model with a prompt
response = generator("[Q] Describe an adventure itinerary for Knuckles Mountain Range.", max_length=150, num_return_sequences=1, truncation=True)
print(response[0]['generated_text'])