Comments (2)
You need to pass a graphcast.CheckPoint
object, not the class definition. In the colab that is the ckpt
variable, but if you're not changing it, you can also just download the file directly. If you want to change it (eg fine tune it), you'll need to construct a new object to pass to checkpoint.dump
.
from graphcast.
You need to pass a
graphcast.CheckPoint
object, not the class definition. In the colab that is theckpt
variable, but if you're not changing it, you can also just download the file directly. If you want to change it (eg fine tune it), you'll need to construct a new object to pass tocheckpoint.dump
.
ok, thank you, i have got it.
from graphcast.
Related Issues (20)
- How to get the data in the paper? HOT 1
- weights license - use of graphcast HOT 5
- Graphcast error on Mac os HOT 1
- Problems feeding data to operational model: Target variable geopotential_at_surface must be time-dependent HOT 1
- when is the prediction result of this demo? HOT 2
- Forecasting beyond 10 days HOT 8
- Cyclone tracking
- There are some questions about forecasting.
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- About the atmospheric variable “Vertical velocity”
- about the autoregressive finetuning
- How to train a model by myself HOT 4
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- graphcast intro description needs ERA5 link fixing
- How was the Graphcast Small 1.0 degree Reanalysis made? HOT 1
- RESOURCE_EXHAUSTED HOT 1
- prediciton output time HOT 7
- Performance of GraphCast_small vs regular GraphCast vs GraphCast_operational HOT 1
- May I ask for a multiple batch example nc file?
- Training duration of pre-training model
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