Upload BertForTokenClassification

config.json

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+{
+  "_name_or_path": "HooshvareLab/bert-fa-base-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-pers",
+    "2": "I-pers",
+    "3": "B-pro",
+    "4": "I-pro",
+    "5": "B-loc",
+    "6": "I-loc",
+    "7": "B-fac",
+    "8": "I-fac",
+    "9": "B-event",
+    "10": "I-event",
+    "11": "B-org",
+    "12": "I-org"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-event": 9,
+    "B-fac": 7,
+    "B-loc": 5,
+    "B-org": 11,
+    "B-pers": 1,
+    "B-pro": 3,
+    "I-event": 10,
+    "I-fac": 8,
+    "I-loc": 6,
+    "I-org": 12,
+    "I-pers": 2,
+    "I-pro": 4,
+    "O": 0
+  },
+  "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": "4.33.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 100000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f1c93b2da32d8bc54cc54c25162bb1f12c4c18df8822b0bfe0487a7e704b6d3c
+size 649107881