Add model files

config.json

@@ -0,0 +1,19 @@
+{
+    "architectures": [
+        "BertForPreTraining"
+    ],
+    "attention_probs_dropout_prob": 0.1,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 1024,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "layer_norm_eps": 1e-12,
+    "max_position_embeddings": 512,
+    "model_type": "bert",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "pad_token_id": 0,
+    "type_vocab_size": 2,
+    "vocab_size": 32768
+}

flax_model.msgpack

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5bc5b4b74742d76529fddd0e7699dd9464ed79361f90f8c04f70eda28a0d5f0f
+size 1354127270

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:50212d714f79af45d3e47205faa356d0e5030e1c9a37138eadda544180f9e7c9
+size 1354248201

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2cdea8775c5dd96ec0055e6fffe42773aa23811bf14e8c04343e1d85c822fe8e
+size 1491013624

tokenizer_config.json

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+{
+    "tokenizer_class": "BertJapaneseTokenizer",
+    "model_max_length": 512,
+    "do_lower_case": false,
+    "word_tokenizer_type": "mecab",
+    "subword_tokenizer_type": "wordpiece",
+    "mecab_kwargs": {
+        "mecab_dic": "unidic_lite"
+    }
+}