Add pipeline tag and link to paper
Browse filesThis PR adds a relevant pipeline tag, ensuring people can find your model at https://huggingface.co/models?pipeline_tag=image-to-3d&sort=trending.
It also links to the paper page.
README.md
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---
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license: llama3.2
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library_name: transformers
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base_model:
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---
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# SpatialLM-Llama-1B
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<!-- markdownlint-disable html -->
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<!-- markdownlint-disable no-duplicate-header -->
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<div align="center">
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<picture>
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<source srcset="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/_dK14CT3do8rBG3QrHUjN.png" media="(prefers-color-scheme: dark)">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/bAZyeIXOMVASHR6-xVlQU.png" width="60%" alt="SpatialLM"
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</picture>
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</div>
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<hr style="margin-top: 0; margin-bottom: 8px;">
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@@ -199,4 +202,4 @@ If you find this work useful, please consider citing:
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We would like to thank the following projects that made this work possible:
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[Llama3.2](https://github.com/meta-llama) | [Qwen2.5](https://github.com/QwenLM/Qwen2.5) | [Transformers](https://github.com/huggingface/transformers) | [SceneScript](https://github.com/facebookresearch/scenescript) | [TorchSparse](https://github.com/mit-han-lab/torchsparse)
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---
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base_model:
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- meta-llama/Llama-3.2-1B-Instruct
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library_name: transformers
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license: llama3.2
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pipeline_tag: image-to-3d
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---
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# SpatialLM-Llama-1B
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<!-- markdownlint-disable html -->
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<!-- markdownlint-disable no-duplicate-header -->
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This repository contains the SpatialLM-Llama-1B model described in [SpatialLM: Training Large Language Models for Structured Indoor Modeling](https://huggingface.co/papers/2506.07491).
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<div align="center">
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<picture>
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<source srcset="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/_dK14CT3do8rBG3QrHUjN.png" media="(prefers-color-scheme: dark)">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/bAZyeIXOMVASHR6-xVlQU.png" width="60%" alt="SpatialLM"/>
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</picture>
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</div>
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<hr style="margin-top: 0; margin-bottom: 8px;">
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We would like to thank the following projects that made this work possible:
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[Llama3.2](https://github.com/meta-llama) | [Qwen2.5](https://github.com/QwenLM/Qwen2.5) | [Transformers](https://github.com/huggingface/transformers) | [SceneScript](https://github.com/facebookresearch/scenescript) | [TorchSparse](https://github.com/mit-han-lab/torchsparse)
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