Youth_Chatbot_Kogpt2-base
| Property | Value |
|---|---|
| Framework | PyTorch, Transformers |
| Base Model | KoGPT2 |
| Language | Korean |
| Training Data | AIHub Dataset |
What is Youth_Chatbot_Kogpt2-base?
Youth_Chatbot_Kogpt2-base is a specialized Korean language model built on the KoGPT2 architecture, specifically designed for youth-oriented conversations. The model leverages the powerful GPT2 architecture while being fine-tuned on Korean youth conversation data from AIHub.
Implementation Details
The model implements a custom tokenization scheme using PreTrainedTokenizerFast with specific tokens for user inputs (U_TKN), system responses (S_TKN), and special masks. It utilizes the Transformers library for inference and includes built-in support for text generation with configurable parameters such as repetition penalty and maximum length.
- Custom tokenization with special tokens for conversation handling
- Implements GPT2LMHeadModel architecture
- Includes demo web interface and API endpoints
- Supports both inference endpoints and local implementation
Core Capabilities
- Korean language conversation generation
- Youth-oriented response generation
- Configurable text generation parameters
- Integration with popular ML frameworks
Frequently Asked Questions
Q: What makes this model unique?
This model's uniqueness lies in its specialization for Korean youth conversations, combining the powerful KoGPT2 architecture with custom tokenization and conversation handling mechanisms specifically designed for youth interaction patterns.
Q: What are the recommended use cases?
The model is best suited for applications requiring Korean language chatbot functionality, particularly those targeting youth audiences. It can be integrated into educational platforms, youth counseling systems, or interactive learning tools.
