Any-to-Any
Transformers
Diffusers
Safetensors
English
llada2_moe
feature-extraction
multimodal
image-generation
image-understanding
image-editing
diffusion
Mixture of Experts
text-to-image
custom_code
Instructions to use inclusionAI/LLaDA2.0-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA2.0-Uni with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LLaDA2.0-Uni", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
GGUF versions
1
#7 opened 18 days ago
by
maroo87
add more examples to readme
#6 opened 24 days ago
by
evewashere
ComfyUI support
➕ 5
2
#5 opened 24 days ago
by
reverentelusarca
Using a single CPU kernel for some important things seems the performance bottleneck
#3 opened 26 days ago
by
rpeinl
Impression
#1 opened 27 days ago
by
NickupAI