Time Series Forecasting
Transformers
Safetensors
fela_grid_renewable
feature-extraction
fela
fourier-neural-operator
fno
cpu
on-device
energy-forecasting
solar-power
wind-power
probabilistic-forecasting
quantile-regression
custom_code
Instructions to use lowdown-labs/fela-power-grid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowdown-labs/fela-power-grid with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lowdown-labs/fela-power-grid", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from lowdown-labs/fela-power-grid: direct link, hf CLI and curl.
- Browser
- Download file 50 Bytes
-
https://huggingface.co/lowdown-labs/fela-power-grid/resolve/main/.gitattributes
- Command line
-
hf download hf://lowdown-labs/fela-power-grid/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/lowdown-labs/fela-power-grid/resolve/main/.gitattributes
50 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |