Other
Transformers
Safetensors
ldf_motion
feature-extraction
text-to-motion
motion-generation
diffusion-forcing
humanml3d
computer-animation
custom_code
Instructions to use AlayaLab/FloodDiffusionTiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlayaLab/FloodDiffusionTiny with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlayaLab/FloodDiffusionTiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from AlayaLab/FloodDiffusionTiny: direct link, hf CLI and curl.
- Browser
- Download file 254 Bytes
-
https://huggingface.co/AlayaLab/FloodDiffusionTiny/resolve/main/config.json
- Command line
-
hf download hf://AlayaLab/FloodDiffusionTiny/config.json
-
curl -L -o config.json https://huggingface.co/AlayaLab/FloodDiffusionTiny/resolve/main/config.json
254 Bytes
| { | |
| "architectures": ["LDFModel"], | |
| "model_type": "ldf_motion", | |
| "auto_map": { | |
| "AutoModel": "hf_pipeline.LDFModel", | |
| "AutoConfig": "hf_pipeline.LDFConfig" | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.0", | |
| "license": "mit" | |
| } | |