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{
"_name_or_path": "google-bert/bert-base-multilingual-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"hidden_size": 768,
"id2label": {
"0": "Repair",
"1": "Landscape",
"2": "Design",
"3": "Construction and Landscape",
"4": "Infrastructure",
"5": "Landscaping",
"6": "Architecture",
"7": "Software",
"8": "Infrastructure works",
"9": "IT",
"10": "Construction",
"11": "Construction and landscape",
"12": "Information Technology",
"13": "Architecture and design",
"14": "Decoration",
"15": "Information technology",
"16": "Quality"
},
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"intermediate_size": 3072,
"label2id": {
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"Architecture and design": 13,
"Construction": 10,
"Construction and Landscape": 3,
"Construction and landscape": 11,
"Decoration": 14,
"Design": 2,
"IT": 9,
"Information Technology": 12,
"Information technology": 15,
"Infrastructure": 4,
"Infrastructure works": 8,
"Landscape": 1,
"Landscaping": 5,
"Quality": 16,
"Repair": 0,
"Software": 7
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.37.2",
"type_vocab_size": 2,
"use_cache": true,
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}