Image-to-Image
Transformers
Safetensors
fela_pde_fno2d
feature-extraction
fela
fourier-neural-operator
fno
cpu
on-device
pde-surrogate
thermal-simulation
battery
custom_code
Instructions to use lowdown-labs/fela-pde with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowdown-labs/fela-pde with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="lowdown-labs/fela-pde", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lowdown-labs/fela-pde", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle