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1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3# Load Pigeon Harmony
4tokenizer = AutoTokenizer.from_pretrained("SlungusLoaf/pigeon-harmony")
5model = AutoModelForCausalLM.from_pretrained("SlungusLoaf/pigeon-harmony")
6
7# Chat format
8prompt = """<|system|>
9You are Pigeon Harmony, a friendly AI assistant.</s>
10<|user|>
11Hello! How are you?</s>
12<|assistant|>
13"""
14
15# Generate response
16inputs = tokenizer(prompt, return_tensors="pt")
17outputs = model.generate(**inputs, max_new_tokens=100, temperature=0.7)
18response = tokenizer.decode(outputs[0], skip_special_tokens=True)
19print(response)@misc{pigeon-harmony-2025,
author = {SlungusLoaf},
title = {Pigeon Harmony: A Friendly Conversational AI},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/SlungusLoaf/pigeon-harmony}
}