GitHunter/nca-128x128-results

Neural Cellular Automata - 128x128 Lizard 🦎

Trained NCA model that grows a lizard emoji from a single seed cell on a 128x128 grid.

Result

Details

• Grid size: 128x128
• Pattern: Lizard emoji (80px)
• Training: Early stopping (patience 300)
• Hardware: Tesla T4
• Architecture: 16ch depthwise conv → 128ch 1x1 → ReLU → 16ch 1x1

Generated by ML Intern

This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

• Try ML Intern: https://smolagents-ml-intern.hf.space
• Source code: https://github.com/huggingface/ml-intern

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = 'GitHunter/nca-128x128-results'
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.