This model is based on Microsoft's DialoGPT-medium and has been fine-tuned on Yoda-style dialogue data to generate responses in Yoda's characteristic speech pattern.

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Asgar-Ali-T/yoda-chatbot")
model = AutoModelForCausalLM.from_pretrained("Asgar-Ali-T/yoda-chatbot")

# Example usage
prompt = "Human: What is the Force?\nYoda:"
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=100, temperature=0.7)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Training Data

The model was trained on custom Yoda dialogue data to learn his unique speech patterns and wisdom.

Model Performance

The model has been trained to respond in Yoda's characteristic manner, including:

Inverted sentence structure
Wise philosophical responses
Star Wars universe knowledge
Yoda's distinctive speech patterns

Limitations

This is a fine-tuned model and may not always produce perfect Yoda responses
Generated content should be used responsibly
The model is for entertainment purposes

License

This model is released under the MIT License.