add model

config.json

@@ -0,0 +1,54 @@
+{
+  "_name_or_path": "roberta-es-clinical-trials-temporal-ner",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Age",
+    "1": "I-Age",
+    "2": "B-Date",
+    "3": "I-Date",
+    "4": "B-Duration",
+    "5": "I-Duration",
+    "6": "B-Frequency",
+    "7": "I-Frequency",
+    "8": "B-Time",
+    "9": "I-Time",
+    "10": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Age": 0,
+    "B-Date": 2,
+    "B-Duration": 4,
+    "B-Frequency": 6,
+    "B-Time": 8,
+    "I-Age": 1,
+    "I-Date": 3,
+    "I-Duration": 5,
+    "I-Frequency": 7,
+    "I-Time": 9,
+    "O": 10
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.16.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50262
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85d64986f646acb06b6cee06fcb2fb0821b4cf769d2383344da47c9aa271442d
+size 496326705