requiring all inherited model.tar.gz after transfer learning coreference

[davidberenstein1957]

Hello, I have trained a coreference model which resulted in model_1.tar.gz . Afterwards, I decided to use this model in the training config by adding the following key to the .jsonnet.

"model": {
    "type": "from_archive",
    "archive_file": "allennlp_output_1/model_1.tar.gz"
 }

This worked nicely and resulted in a better model_2.tar.gz. However, upon loading model_2.tar.gz via Predictor.from_path("./allennlp_output_1/model_1.tar.gz") it requires the allennlp_output_1/model_1.tar.gz to be present as well.

[epwalsh]

@AkshitaB, @dirkgr, I think you all had a solution to this at one point?

[davidberenstein1957]

@epwalsh similarly, loading a model with a custom datasetloader, require that dataset loader to have been registered, even though I just want to use the model for inference.

[epwalsh]

@davidberenstein1957 that surprises me. Can you post a stacktrace when you get a chance?

[epwalsh]

So, the main issue here was brought up in #5211, but we're not likely to implement the solution anytime soon. We just don't have the bandwidth are we're no longer focused on adding new features to AllenNLP. But there is a work-around: you could just update the config.json file within the archive of model_2.tar.gz and remove the reference to allennlp_output_1/model_1.tar.gz.