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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("modelscope/Nexus-GenV2", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("modelscope/Nexus-GenV2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/illustrations/architecture.jpg from modelscope/Nexus-GenV2: direct link, hf CLI and curl.
- Browser
- Download file 822 kB
-
https://huggingface.co/modelscope/Nexus-GenV2/resolve/main/assets/illustrations/architecture.jpg
- Command line
-
hf download hf://modelscope/Nexus-GenV2/assets/illustrations/architecture.jpg
-
curl -L -o architecture.jpg https://huggingface.co/modelscope/Nexus-GenV2/resolve/main/assets/illustrations/architecture.jpg
822 kB

- Xet hash:
- c7e2e574dd47d08b88f625ab06fd3417554af0f5e7c52d3096104bd03b34d1e0
- Size of remote file:
- 822 kB
- SHA256:
- 26cec55a0833fba24908bbdf53b4cb8e88736d3e5ee75e1ef48835a2fe27bdb4
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