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{
"_name_or_path": "FacebookAI/xlm-roberta-large",
"architectures": [
"XLMRobertaForTokenClassification"
],
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"hidden_size": 1024,
"id2label": {
"0": "Email",
"1": "O",
"2": "S\u0110T",
"3": "M\u00e3 \u0111\u01a1n",
"4": "Ti\u1ec1n",
"5": "Ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n",
"6": "Gi\u1edd",
"7": "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng",
"8": "\u0110\u01a1n v\u1ecb \u0111o",
"9": "CCCD - CMT",
"10": "STK",
"11": "Ng\u00e2n h\u00e0ng",
"12": "Ca",
"13": "S\u1ea3n ph\u1ea9m c\u1ee5 th\u1ec3",
"14": "Ng\u00e0y",
"15": "T\u00ean ng\u01b0\u1eddi",
"16": "Kh\u1ed1i l\u01b0\u1ee3ng",
"17": "\u0110\u1ecba ch\u1ec9 c\u1ee5 th\u1ec3",
"18": "S\u0110T tr\u1eebu t\u01b0\u1ee3ng",
"19": "\u0110\u1ecba ch\u1ec9 tr\u1eebu t\u01b0\u1ee3ng",
"20": "S\u1ea3n ph\u1ea9m tr\u1eebu t\u01b0\u1ee3ng"
},
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"label2id": {
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"Ca": 12,
"Email": 0,
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"M\u00e3 \u0111\u01a1n": 3,
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"Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng": 7,
"Ng\u00e2n h\u00e0ng": 11,
"O": 1,
"Ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n": 5,
"STK": 10,
"S\u0110T": 2,
"S\u0110T tr\u1eebu t\u01b0\u1ee3ng": 18,
"S\u1ea3n ph\u1ea9m c\u1ee5 th\u1ec3": 13,
"S\u1ea3n ph\u1ea9m tr\u1eebu t\u01b0\u1ee3ng": 20,
"Ti\u1ec1n": 4,
"T\u00ean ng\u01b0\u1eddi": 15,
"\u0110\u01a1n v\u1ecb \u0111o": 8,
"\u0110\u1ecba ch\u1ec9 c\u1ee5 th\u1ec3": 17,
"\u0110\u1ecba ch\u1ec9 tr\u1eebu t\u01b0\u1ee3ng": 19
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.42.3",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}
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