Add trained model

config.json

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+{
+  "_name_or_path": "HooshvareLab/bert-fa-base-uncased",
+  "architectures": [
+    "BertModel"
+  ],
+  "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": 100000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5104f1ac82ead640ed074a05cba11e185e46a4dccb141b34b521368d3e0883e8
+size 651450094

sentence_bert_config.json

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+{
+  "max_seq_length": 512
+}

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "HooshvareLab/bert-fa-base-uncased"}