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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("modelscope/Nexus-Gen", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("modelscope/Nexus-Gen", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/illustrations/cover.jpg from modelscope/Nexus-Gen: direct link, hf CLI and curl.
- Browser
- Download file 791 kB
-
https://huggingface.co/modelscope/Nexus-Gen/resolve/main/assets/illustrations/cover.jpg
- Command line
-
hf download hf://modelscope/Nexus-Gen/assets/illustrations/cover.jpg
-
curl -L -o cover.jpg https://huggingface.co/modelscope/Nexus-Gen/resolve/main/assets/illustrations/cover.jpg
791 kB

- Xet hash:
- 44a302502b302114ec88ca59e3cbe82294b0f144c483d416d82af63718f9b7e8
- Size of remote file:
- 791 kB
- SHA256:
- 9ac1cb77959e422e37796044a1db30982975ed30d476de1721a3aed712b78a36
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