MultiTaskLearning

hello ,请问
加载的这个模型”close_tok_pos_ner_srl_dep_sdp_con_electra_base“,应该怎么export model,用tf serving部署?

下面代码复制的 hanlp_demo/hanlp_demo/zh/tf/demo_client.py
import grpc
import tensorflow as tf
from tensorflow_serving.apis import predict_pb2, prediction_service_pb2_grpc
import hanlp
from hanlp.common.keras_component import KerasComponent

tagger: KerasComponent = hanlp.load('/home/wp/close_tok_pos_ner_srl_dep_sdp_con_electra_base_20210111_124519_20210304_140543')
tagger.export_model_for_serving('hanlp_model')

会报错,multitask没有export_model_for_serving这个方法,请问应该要怎么部署?

MultiTaskLearning是TorchComponent,不支持tf serving。关于Torch Serving的讨论,请跟帖: