Instructions to use ecmwf/aifs-ens-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AnemoI
How to use ecmwf/aifs-ens-1.0 with AnemoI:
from anemoi.inference.runners.default import DefaultRunner from anemoi.inference.config.run import RunConfiguration # Create Configuration config = RunConfiguration(checkpoint = {"huggingface":"ecmwf/aifs-ens-1.0"}) # Load Runner runner = DefaultRunner(config) - Notebooks
- Google Colab
- Kaggle
Download assets/encoder_graph.jpeg from ecmwf/aifs-ens-1.0: direct link, hf CLI and curl.
- Browser
- Download file 168 kB
-
https://huggingface.co/ecmwf/aifs-ens-1.0/resolve/main/assets/encoder_graph.jpeg
- Command line
-
hf download hf://ecmwf/aifs-ens-1.0/assets/encoder_graph.jpeg
-
curl -L -o encoder_graph.jpeg https://huggingface.co/ecmwf/aifs-ens-1.0/resolve/main/assets/encoder_graph.jpeg
168 kB

- Xet hash:
- 75224006edca243e9beebced7a683cba8c7c74d11298a7bfe42a6f9d57c37d41
- Size of remote file:
- 168 kB
- SHA256:
- fe96aa418e231a623dba209aa048248b6506d8c3106df39ac82e3bef2098ba1f
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