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:
- 98017eb1f77f8a83b47fc9fda9a12fb834015cde19d0d7d71e4c57795a2cfe22
- Size of remote file:
- 4.97 GB
- SHA256:
- 6df19138a6164693c6e61fb8440b3f3c6e89d77a244b357cc2ebd2fa6bc3bf01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.