How to save a model? about tf_ner

[guillaumegenthial]

@1049451037 once trained, the weights are saved the results directory! Next time you instantiate the same estimator, with the same graph and same model_dir, it will reload the weights.

You can test it with just commenting out train_and_evaluate and simply run python main.py : it will reload the graph and write the same predictions!

[varshachawan]

Really appreciate your effort ! @guillaumegenthial
but Adding a TF signature for saving model using SavedModel to serve in Tensorflow serving.. adding This code ll make this model a perfect end-to-end ( train - test - Save - Serve )solution for NER. If you could add this would be really helpful for beginners like me

[gamerrishad]

Hello @guillaumegenthial what should be the serving_input_fn if we really want to use estimator.export_savedmodel?? I've created a new issue on this.