saminfatehi

Hmm... that's strange. Did you guys download the Bert model file and decompress it?

At first please double-check the model path (model_dir). Second, did you check [this issue](https://github.com/hanxiao/bert-as-service/issues/278)? Maybe the problem is about your tensorflow version.

Thanks for your description @di-press; If this is helpful, you can make us glad by giving our project a star. :D

Hi @6wom9 Hmmm... That's strange. what is your sklearn version? maybe an upgrade could be helpful.

Hi @LifeofLucidity, Hmm... That's strange. does your computer crash on step 2? Reduce num_worker parameter to 1 (-num_worker=1). Maybe it will help.

Hi @LifeofLucidity, It seems step 2 to have passed successfully and the bert server is ready to serve the requests. Now you can try step 3 in the other terminal.

Each row in this file is about a personality trait (EXT, NEU, AGR, CON, and OPN). The 10 first columns show the accuracy of 10 fold cross-validation and the last...

Hi @di-press; Maybe you don't have enough memory for 4 workers. you can set num_worker parameter less than 4. like this: bert-serving-start -model_dir uncased_L-12_H-768_A-12/ -num_worker=1 -max_seq_len=NONE -show_tokens_to_client -pooling_layer -12 -11...

Hi, Since this is a supervised learning model, we evaluate our model on test data and report the accuracy. If you want to know the personality of a new text...

Hi, We added a new python file predictor.py to predict personality traits for new text as input. (if you want to pass a file, you can modify this code file...