Instructions to use Diankun/Spatial-MLLM-v1.1-Instruct-135K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Diankun/Spatial-MLLM-v1.1-Instruct-135K with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Diankun/Spatial-MLLM-v1.1-Instruct-135K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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base_model:
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- Qwen/Qwen2.5-VL-3B-Instruct
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license: mit
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pipeline_tag: video-text-to-text
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library_name: transformers
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---
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This repository contains the model described in [Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence](https://huggingface.co/papers/2505.23747).
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Project page: https://diankun-wu.github.io/Spatial-MLLM/
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Code: https://github.com/diankun-wu/Spatial-MLLM
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