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, 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
- Xet hash:
- 0e9ba29ff4b22adf7f432425edaacc47a27546012aaa4da964731f9eebf76166
- Size of remote file:
- 4.99 GB
- SHA256:
- 87481043c8d989ffa53dfb5a408c88b8ee83fdddbfa4fdbf4344ff5cbadf7ecb
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