metadata
library_name: transformers
tags:
- chatbot
- philosopher
- fine-tuned
- gpt2
license: mit
language: en
Philosopher Bot 🧘♂️🗣️
A fine-tuned GPT-based model designed to speak like a thoughtful philosopher. This is my initial experimental version and not yet optimized for production use.
Model Description
- Base model: GPT2 (small)
- Fine-tuned on: philosophical Q&A pairs (custom dataset)
- Goal: To simulate the reasoning and reflective tone of a philosopher.
- Limitations: The model may generate abstract, verbose or sometimes irrelevant answers. It is not intended for factual information retrieval or logical precision.
Intended Use
- Direct Use: Fun philosophical chatbot or role-playing bot for conversation.
- Out-of-scope: Not suitable for therapy, factual Q&A, or decision-making.
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("your-username/philosopher-bot")
model = AutoModelForCausalLM.from_pretrained("your-username/philosopher-bot")
input_text = "What is the meaning of life?"
inputs = tokenizer.encode(input_text, return_tensors="pt")
outputs = model.generate(inputs, max_length=100)
print(tokenizer.decode(outputs[0]))