Added BERT-Base model

README.md

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----
-license: apache-2.0
----

config.json

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+{
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "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,
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:997a8012a07cef470869a18bce1540cf179b41dd7cfdf8256a982c30da04bfeb
+size 437958644

pytorch_model.bin

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+oid sha256:53317378053dac783e2aa032302f435b2937515f2abe9048dfa088c08affcfbe
+size 437983344

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": true, "model_max_length": 512}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
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+size 1635