Import the initial BERT pre-trained model

model_pro/bert_model/config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "type_vocab_size": 2,
+  "vocab_size": 21128
+}

model_pro/bert_model/readme.md

@@ -0,0 +1,5 @@
+BERT model parameter file:
+
+Link: https://pan.baidu.com/s/1onnhi6wp8WfZrkJnM7bgWg?pwd=4pon
+
+Access code: 4pon

model_pro/bert_model/tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "model_max_length": 512}