useing bert-as-service with .pb file model

[midneet]

Prerequisites

Please fill in by replacing [ ] with [x].

• [x] Are you running the latest bert-as-service?
• [x] Did you follow the installation and the usage instructions in README.md?
• [x] Did you check the FAQ list in README.md?
• [x] Did you perform a cursory search on existing issues?

System information

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• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
• TensorFlow installed from (source or binary):
• TensorFlow version: 2.0
• Python version: 3.6
• bert-as-service version: v1.10.0
• GPU model and memory:
• CPU model and memory:

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Description

Please replace YOUR_SERVER_ARGS and YOUR_CLIENT_ARGS accordingly. You can also write your own description for reproducing the issue.

hi, I'm wondering is there a way I can load .pb format model for bert-as-service instead .ckpt model? I would like to transfer to use another BERT pre-trained model released here: https://tfhub.dev/tensorflow/bert_zh_L-12_H-768_A-12/1 which looks like a more recent chinese bert model but in format of .pb model.

Thank you very much

[zhiyongLiu1114]

try tensorflow serving