add model

config.json

@@ -0,0 +1,49 @@
+{
+  "_name_or_path": "HooshvareLab/bert-fa-zwnj-base",
+  "_num_labels": 9,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "I-DAT",
+    "1": "I-EVE",
+    "2": "I-LOC",
+    "3": "I-NAT",
+    "4": "I-ORG",
+    "5": "I-PER",
+    "6": "I-TIM",
+    "7": "I-mainLOC",
+    "8": "o"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "I-DAT": 0,
+    "I-EVE": 1,
+    "I-LOC": 2,
+    "I-NAT": 3,
+    "I-ORG": 4,
+    "I-PER": 5,
+    "I-TIM": 6,
+    "I-mainLOC": 7,
+    "o": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 42000
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ed171936b80f1be8dcb7d2620e63001d43d0d32d67fcb89948f08a5dedd8ed6
+size 470925105