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{
"_name_or_path": "distilbert/distilbert-base-multilingual-cased",
"activation": "gelu",
"architectures": [
"DistilBertForSequenceClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
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"id2label": {
"0": "data_science",
"1": "software",
"2": "consulting",
"3": "data_engineering",
"4": "project_management",
"5": "security",
"6": "development",
"7": "quality_assurance",
"8": "technical_writing",
"9": "devops",
"10": "database_administration",
"11": "virtualization",
"12": "cloud",
"13": "network_engineering",
"14": "data",
"15": "business_analysis",
"16": "cybersecurity"
},
"initializer_range": 0.02,
"label2id": {
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"cloud": 12,
"consulting": 2,
"cybersecurity": 16,
"data": 14,
"data_engineering": 3,
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"development": 6,
"devops": 9,
"network_engineering": 13,
"project_management": 4,
"quality_assurance": 7,
"security": 5,
"software": 1,
"technical_writing": 8,
"virtualization": 11
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"output_past": true,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.36.1",
"vocab_size": 119547
}