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
Download decoder_81_512.bin from modelscope/Nexus-Gen: direct link, hf CLI and curl.
- Browser
- Download file 23.9 GB
-
https://huggingface.co/modelscope/Nexus-Gen/resolve/main/decoder_81_512.bin
- Command line
-
hf download hf://modelscope/Nexus-Gen/decoder_81_512.bin
-
curl -L -o decoder_81_512.bin https://huggingface.co/modelscope/Nexus-Gen/resolve/main/decoder_81_512.bin
23.9 GB
- Xet hash:
- a9947647d518c10e57cb61d1a8de5ef424b6a678c3d8ee1f751f7fff1c84cf1b
- Size of remote file:
- 23.9 GB
- SHA256:
- 5185e89d6f4aec5d4197c4b8c8055e6a4a7939fbd74b595e8c671b0d92fb9b00
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