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Update README.md

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  ---
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  license: apache-2.0
 
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  ---
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@@ -31,6 +32,7 @@ Install:
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  pip install git+https://github.com/MarcusLoppe/meshgpt-pytorch.git
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  ```
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  ```
 
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  from meshgpt_pytorch import (
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  MeshAutoencoder,
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  MeshTransformer,
@@ -38,7 +40,7 @@ from meshgpt_pytorch import (
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  )
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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- transformer = MeshTransformer.from_pretrained("MarcusLoren/MeshGPT_tiny_alpha").to(device)
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  output = []
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  output.append((transformer.generate(texts = ['sofa','bed', 'computer screen', 'bench', 'chair', 'table' ] , temperature = 0.0) ))
@@ -79,4 +81,4 @@ The tokens generated by the transformer can then be converted into 3D mesh using
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  The idea for MeshGPT came from the paper ( https://arxiv.org/abs/2311.15475 ) but the creators didn't release any code or model.
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  Phil Wang (https://github.com/lucidrains) drew inspiration from the paper and did a ton of improvements over the papers implementation and created the repo : https://github.com/lucidrains/meshgpt-pytorch
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  My goal has been to figure out how to train and implement MeshGPT into reality. <br/>
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- See my github repo for a notebook on how to get started training your own MeshGPT! [MarcusLoppe/meshgpt-pytorch](https://github.com/MarcusLoppe/meshgpt-pytorch/)
 
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  ---
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  license: apache-2.0
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+ pipeline_tag: text-to-3d
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  ---
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  pip install git+https://github.com/MarcusLoppe/meshgpt-pytorch.git
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  ```
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  ```
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+ import torch
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  from meshgpt_pytorch import (
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  MeshAutoencoder,
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  MeshTransformer,
 
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  )
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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+ transformer = MeshTransformer.from_pretrained("MarcusLoren/MeshGPT-preview").to(device)
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  output = []
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  output.append((transformer.generate(texts = ['sofa','bed', 'computer screen', 'bench', 'chair', 'table' ] , temperature = 0.0) ))
 
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  The idea for MeshGPT came from the paper ( https://arxiv.org/abs/2311.15475 ) but the creators didn't release any code or model.
82
  Phil Wang (https://github.com/lucidrains) drew inspiration from the paper and did a ton of improvements over the papers implementation and created the repo : https://github.com/lucidrains/meshgpt-pytorch
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  My goal has been to figure out how to train and implement MeshGPT into reality. <br/>
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+ See my github repo for a notebook on how to get started training your own MeshGPT! [MarcusLoppe/meshgpt-pytorch](https://github.com/MarcusLoppe/meshgpt-pytorch/)