Comments (2)
threadthreasher
commented on September 15, 2024
10
An example in a notebook of inference for a model that was already trained with the package would be of great help.
Simple flow for:
- Formatting new data into the format the model would accept.
- Supplying the data to the model.
Would be very helpful for people new to Pytorch Lightning. :)
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jakegrigsby
commented on September 15, 2024
9
Thanks! I'll keep that in mind, although I'm not too sure how practical notebooks would be given that training requires a multi-gpu setup and takes at least a few hours for most datasets. Maybe I can make one as a demo and post the notebook with the outputs saved as part of the documentation.
from spacetimeformer.
Related Issues (20)
- AttributeError: module 'tqdm' has no attribute 'auto' HOT 8
- how should I find the datas for example
- Colab installation
- Random seed
- TypeError: accuracy() missing 1 required positional argument: 'task' HOT 1
- MisconfigurationException: `configure_optimizers` must include a monitor when a `ReduceLROnPlateau` scheduler is used HOT 5
- Training with custom dataset. Error: object is not callable HOT 2
- colab
- Pip installation
- Error while resuming training from saved checkpoint
- Huggingface Integration HOT 1
- Memory requirements to replicate on Pems-Bay HOT 2
- Working with custom dataset, IndexError: index out of range in self HOT 1
- ValueError: SyncBatchNorm layers only work with GPU modules HOT 2
- prediction vs labels
- Unable to reproduce results for spacetimeformer HOT 2
- `configure_optimizers` must include a monitor when a `ReduceLROnPlateau` scheduler is used. For example: {"optimizer": optimizer, "lr_scheduler": scheduler, "monitor": "metric_to_track"} HOT 2
- Question regarding the use of projected exogenous variable values
- using own dataset
- Publication of Training Commands
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