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:
- f31b0aff246a608b071ac5014d770d98e05a335e12e1d947483abadba17a9d0d
- Size of remote file:
- 24.5 GB
- SHA256:
- c0a9da3e87b2340d84e6af6fd4978f93ea12668a5199b0257964b686e7ee66d9
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