remove code

python/paddle_serving_app/models/model_list.py

@@ -56,22 +56,6 @@ class ServingModels(object):
         pack_url(self.model_dict, "ImageClassification", image_class_url)
         pack_url(self.model_dict, "OCR", ocr_url)
 
-        #SemanticModel
-        for key in [
-                "bert_cased_L-12_H-768_A-12", "bert_cased_L-24_H-1024_A-12",
-                "bert_chinese_L-12_H-768_A-12",
-                "bert_multi_cased_L-12_H-768_A-12",
-                "bert_multi_uncased_L-12_H-768_A-12",
-                "bert_uncased_L-12_H-768_A-12", "bert_uncased_L-24_H-1024_A-16",
-                "chinese-bert-wwm-ext", "chinese-bert-wwm",
-                "chinese-electra-base", "chinese-electra-small",
-                "chinese-electra-small", "chinese-roberta-wwm-ext", "ernie",
-                "ernie_tiny", "ernie_v2_eng_base", "ernie_v2_eng_large", "rbt3",
-                "rbtl3", "simnet_bow", "word2vec_skipgram"
-        ]:
-            self.model_dict[
-                key] = "https://paddle-serving.bj.bcebos.com/paddle_hub_models/text/SemanticModel/" + key + ".tar.gz"
-
     def get_model_list(self):
         return self.model_dict
 

tools/serving_ce.sh

-set -x
-set -v
-function get_model(){
-if [ ! -d "bert_cased_L-12_H-768_A-12_model" ]; then
-    python -c "from paddle_serving_app.models import ServingModels; models = ServingModels();\
-    models.download(\"$1\")"
-tar -xzf $1.tar.gz
-fi
-}
-
-function bert_demo(){
-cd ../python/examples/bert
-python prepare_model.py bert_chinese_L-12_H-768_A-12 20
-sh benchmark.sh bert_chinese_L-12_H-768_A-12_seq20_model bert_chinese_L-12_H-768_A-12_seq20_client
-
-python prepare_model.py ernie_tiny 20
-sh benchmark.sh ernie_tiny_seq20_model ernie_tiny_seq20_client
-cd -
-}
-
-function imagenet_demo(){
-cd ../python/examples/imagenet
-sh get_model.sh
-
-}
-
-bert_demo