Instructions to use BAAI/ConsiSpace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/ConsiSpace with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Qwen2_5_VLForConditionalGenerationWithVGGT processor = AutoProcessor.from_pretrained("BAAI/ConsiSpace") model = Qwen2_5_VLForConditionalGenerationWithVGGT.from_pretrained("BAAI/ConsiSpace", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: image-text-to-text
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tags:
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- vision-language-model
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- spatial-reasoning
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- video-understanding
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# This model is the result of joint research conducted by Hao Tang's team at the School of Computer Science, Peking University, and the Beijing Academy of Artificial Intelligence (BAAI).
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pipeline_tag: image-text-to-text
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tags:
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- vision-language-model
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- video-understanding
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# This model is the result of joint research conducted by Hao Tang's team at the School of Computer Science, Peking University, and the Beijing Academy of Artificial Intelligence (BAAI).
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