from transformers import pipeline  # Load modules

pipe = pipeline("text-generation", model="AryavA/FunnyPhi-4") # Load the model

messages = [{"role":"user", "content":"Who are you?"}] # Setting the messages in a variable called umm, yeah, messages.

print(pipe(messages)) # Generating and printing output.

Note that this code is very lengthy, and needs professionals to type this out, but I used very little comments so you can understand this code.

PRO_TIPS_LANG

Use FunnyPhi-4 responsibly. Too much laughter may cause heavy stomach pains.

If it forgets its name, just finetune it.

Contributions are welcome, especially memes or jokes about pizza or Python errors.

License & Attribution

Base Model: Phi-4 (MIT License)
Fine-tune License: MIT (same as base model)
Additional Training Data: This model was fine-tuned on a mixture of custom text and some outputs generated by LLaMA 3.2. These outputs were used as part of the training data to improve humor style.
- The model itself does NOT include LLaMA weights or code.
- LLaMA outputs are licensed under Meta’s LLaMA 3.2 terms of use.

Please use this model responsibly and check the licenses of any datasets or upstream models used in your own work.