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{
"_name_or_path": "xlm-roberta-base",
"architectures": [
"XLMRobertaForTokenClassification"
],
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"id2label": {
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"1": "B-cardinal number",
"2": "B-date",
"3": "I-date",
"4": "B-person",
"5": "I-person",
"6": "B-group",
"7": "B-geopolitical area",
"8": "I-geopolitical area",
"9": "B-law",
"10": "I-law",
"11": "B-organization",
"12": "I-organization",
"13": "B-percent",
"14": "I-percent",
"15": "B-ordinal number",
"16": "B-money",
"17": "I-money",
"18": "B-work of art",
"19": "I-work of art",
"20": "B-facility",
"21": "B-time",
"22": "I-cardinal number",
"23": "B-location",
"24": "B-quantity",
"25": "I-quantity",
"26": "I-group",
"27": "I-location",
"28": "B-product",
"29": "I-time",
"30": "B-event",
"31": "I-event",
"32": "I-facility",
"33": "B-language",
"34": "I-product",
"35": "I-ordinal number",
"36": "I-language"
},
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"intermediate_size": 3072,
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"I-law": 10,
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"O": 0
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"type_vocab_size": 1,
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}