Image-to-3D
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
Multimodal-Large-Language-Model,mesh-generation
text-generation-inference
Instructions to use yejunliang23/ShapeLLM-7B-omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yejunliang23/ShapeLLM-7B-omni with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("yejunliang23/ShapeLLM-7B-omni") model = AutoModelForMultimodalLM.from_pretrained("yejunliang23/ShapeLLM-7B-omni", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yejunliang23/ShapeLLM-7B-omni: direct link, hf CLI and curl.
- Browser
- Download file 7.54 kB
-
https://huggingface.co/yejunliang23/ShapeLLM-7B-omni/resolve/main/training_args.bin
- Command line
-
hf download hf://yejunliang23/ShapeLLM-7B-omni/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yejunliang23/ShapeLLM-7B-omni/resolve/main/training_args.bin
7.54 kB
- Xet hash:
- 510d6af7dfe9e4b4bc5e552db600f0185eb56e34f73fe54dd1d1df2bfde85624
- Size of remote file:
- 7.54 kB
- SHA256:
- a31002d88f20a51c229147b61f9a7308723546b2f0c5d1c9c9d0b7978823df0b
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