Repackaged LQ-KBERT-Base into Hugging Face standard format

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "klue/bert-base",
+  "architectures": [
+    "KbertMTL"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "langquant_info": {
+    "base_model": "klue/bert-base",
+    "head_structure": {
+      "action": 6,
+      "emotion": 7,
+      "regression": 3,
+      "sentiment": 5
+    },
+    "license": "cc-by-nc-4.0",
+    "model_name": "LQ-KBERT-Base",
+    "organization": "LangQuant",
+    "source_ckpt": "lq-kbert-base.pt",
+    "task": "Crypto Market Korean Sentiment & Action Signal Classification",
+    "year": 2025
+  },
+  "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",
+  "transformers_version": "4.27.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c866cfae6b4c43cfc668909f775b91a1da962f283f3cdd589f56e7f44bef9b5
+size 442620643

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,15 @@
+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": "C:\\Users\\user/.cache\\huggingface\\hub\\models--klue--bert-base\\snapshots\\77c8b3d707df785034b4e50f2da5d37be5f0f546\\special_tokens_map.json",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}