BERT model pretrained on chemical literature

added_tokens.json

@@ -0,0 +1 @@
+{}

config.json

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+{
+  "attention_probs_dropout_prob": 0.1,
+  "finetuning_task": null,
+  "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,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_labels": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pruned_heads": {},
+  "torchscript": false,
+  "type_vocab_size": 2,
+  "vocab_size": 28996
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d6de57eed3e83274416cba2bb1089abcb89fca6516bbf03c4eebd96cab1f9731
+size 435776784

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": false, "max_len": 512, "init_inputs": []}