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config.json

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+{
+  "_name_or_path": "SZTAKI-HLT/hubert-base-cc",
+  "architectures": [
+    "TokenClassifier"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "nerkor_cars_ner",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
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+  "num_hidden_layers": 12,
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+  "position_embedding_type": "absolute",
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+}

model_config.json

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+{"bert_model": "SZTAKI-HLT/hubert-base-cc", "do_lower": false, "max_seq_length": 448, "num_labels": 75, "labels": ["O", "B-AGE", "B-AWARD", "B-CAR", "B-CARDINAL", "B-DATE", "B-DUR", "B-EVENT", "B-FAC", "B-FRQ", "B-GPE", "B-ID", "B-LANGUAGE", "B-LAW", "B-LOC", "B-MEDIA", "B-MISC", "B-MISC-LOC", "B-MISC-ORG", "B-MONEY", "B-NORP", "B-ORDINAL", "B-ORG", "B-PER", "B-PERCENT", "B-PERS", "B-PROD", "B-PROJ", "B-QUANTITY", "B-SCORE", "B-SEC", "B-SMEDIA", "B-STX", "B-TEL", "B-TIME", "B-URL", "B-VRN", "B-WORK_OF_ART", "B-ZIP", "B-[DATE", "I-AGE", "I-AWARD", "I-CAR", "I-CARDINAL", "I-DATE", "I-DUR", "I-EVENT", "I-FAC", "I-FRQ", "I-GPE", "I-ID", "I-LAW", "I-LOC", "I-MEDIA", "I-MISC", "I-MISC-ORG", "I-MONEY", "I-NORP", "I-ORG", "I-PER", "I-PERCENT", "I-PROD", "I-PROJ", "I-QUANTITY", "I-SCORE", "I-SEC", "I-SMEDIA", "I-STX", "I-TIME", "I-VRN", "I-WORK_OF_ART", "I-[DATE", "[CLS]", "[SEP]"]}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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