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
fp8
quantized
custom_code
Instructions to use inclusionAI/LLaDA2.0-Uni-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA2.0-Uni-FP8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LLaDA2.0-Uni-FP8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 432 Bytes
adc7c45 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"min_pixels": 262144,
"max_pixels": 4194304,
"do_rescale": true,
"do_normalize": true,
"do_resize": false,
"patch_size": 16,
"temporal_patch_size": 1,
"merge_size": 1,
"image_mean": [0.5, 0.5, 0.5],
"image_std": [0.5, 0.5, 0.5],
"image_processor_type": "GlmImageImageProcessor",
"processor_class": "GlmImageProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098
}
|