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nca-128x128-results
GitHunter/nca-128x128-results
nca-128x128-results is a machine learning model from GitHunter. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Trained NCA model that grows a lizard emoji from a single seed cell on a 128x128 grid.
Access
Public
Updated May 25, 2026
Repo size
22.2 MB
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.gif22.1 MB · 99%
At a glance
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 25, 2026
- SHA
- 7330ecef
Model card
From the Hugging Face model README
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.
- Created
- May 12, 2026
- Updated
- May 25, 2026