To load the FNO model trained on a dataset of the Well, use the following while replacing
<datasetname>
by the actual name of the dataset.
from the_well.benchmark.models import FNO
model = FNO.from_pretrained("polymathic-ai/FNO-<datasetname>")
Runs of polymathic-ai FNO-active_matter on huggingface.co
175
Total runs
9
24-hour runs
2
3-day runs
21
7-day runs
-271
30-day runs
More Information About FNO-active_matter huggingface.co Model
FNO-active_matter huggingface.co
FNO-active_matter huggingface.co is an AI model on huggingface.co that provides FNO-active_matter's model effect (), which can be used instantly with this polymathic-ai FNO-active_matter model. huggingface.co supports a free trial of the FNO-active_matter model, and also provides paid use of the FNO-active_matter. Support call FNO-active_matter model through api, including Node.js, Python, http.
FNO-active_matter huggingface.co is an online trial and call api platform, which integrates FNO-active_matter's modeling effects, including api services, and provides a free online trial of FNO-active_matter, you can try FNO-active_matter online for free by clicking the link below.
polymathic-ai FNO-active_matter online free url in huggingface.co:
FNO-active_matter is an open source model from GitHub that offers a free installation service, and any user can find FNO-active_matter on GitHub to install. At the same time, huggingface.co provides the effect of FNO-active_matter install, users can directly use FNO-active_matter installed effect in huggingface.co for debugging and trial. It also supports api for free installation.