Any-to-Any
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
custom_code
text-generation-inference
Instructions to use modelscope/Nexus-Gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modelscope/Nexus-Gen with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("modelscope/Nexus-Gen", trust_remote_code=True) model = AutoModelForImageTextToText.from_pretrained("modelscope/Nexus-Gen", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Update pipeline tag to any-to-any
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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library_name: transformers
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frameworks:
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- Pytorch
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tasks:
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2504.21356v2},
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}
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```
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---
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library_name: transformers
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license: apache-2.0
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pipeline_tag: any-to-any
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frameworks:
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- Pytorch
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tasks:
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2504.21356v2},
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}
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```
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