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---
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'])
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