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README.md
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# LightweightMR — Mesh from Point Cloud (Beginner Guide)
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> **TL;DR** — Give it a `.ply` / `.pcd` / `.xyz` file full of 3D points, and it spits out a nice triangle mesh (`.ply` or `.obj`).
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License: MIT (reimplementation). Original paper and code © authors.
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---
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tags:
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- ml-intern
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---
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# LightweightMR — Mesh from Point Cloud (Beginner Guide)
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> **TL;DR** — Give it a `.ply` / `.pcd` / `.xyz` file full of 3D points, and it spits out a nice triangle mesh (`.ply` or `.obj`).
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License: MIT (reimplementation). Original paper and code © authors.
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<!-- ml-intern-provenance -->
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## Generated by ML Intern
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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.
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- Try ML Intern: https://smolagents-ml-intern.hf.space
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- Source code: https://github.com/huggingface/ml-intern
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "bdck/lightweightmr"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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```
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For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.
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