Update ML Intern artifact metadata

README.md

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+---
+tags:
+- ml-intern
+---
 # LightweightMR — Pure-Python Mesh Reconstruction
 
 Pure-Python reimplementation of **["High-Fidelity Lightweight Mesh Reconstruction from Point Clouds"](https://openaccess.thecvf.com/content/CVPR2025/papers/Zhang_High-Fidelity_Lightweight_Mesh_Reconstruction_from_Point_Clouds_CVPR_2025_paper.pdf)** (CVPR 2025 Highlight, Zhang et al.)
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 ---
 
 License: MIT (reimplementation). Original paper and code © authors.
+
+<!-- ml-intern-provenance -->
+## Generated by ML Intern
+
+This model repository was generated by [ML Intern](https://github.com/huggingface/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
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "bdck/lightweightmr"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.