Any-to-Any
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
custom_code
text-generation-inference
Instructions to use modelscope/Nexus-GenV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modelscope/Nexus-GenV2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("modelscope/Nexus-GenV2", trust_remote_code=True) model = AutoModelForImageTextToText.from_pretrained("modelscope/Nexus-GenV2", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db67555def71d99e724c7e2024c0244384497f91cbeef2c85758149433538c50
- Size of remote file:
- 23.9 GB
- SHA256:
- 77a225a1792de87c262146d6ff702bafd23834f10d4140ea79ee61e923337fa2
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