Teemu Hirsimäki

Thanks! I will try loading the encoder and adapters separately. Eventually my use case will be to train a model that can do both sentence similarity and token classification, but...

To clarify the use case, I eventually want to implement a microservice that loads the trained encoder and trained adapters from local files so that encoder is common for the...

Currently, if I call `trainer.save_model(task_index)` for 4 tasks, 4 different copies of the encoder are saved to disk and the files seem to have differences. And if I use `load_pipeline()`...