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{
"_name_or_path": "AutoTrain",
"_num_labels": 47,
"architectures": [
"BertForSequenceClassification"
],
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"id2label": {
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"2": "body",
"3": "city",
"4": "code",
"5": "color",
"6": "count",
"7": "country",
"8": "cremat",
"9": "currency",
"10": "date",
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"14": "dist",
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"16": "exp",
"17": "food",
"18": "gr",
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"20": "instru",
"21": "lang",
"22": "letter",
"23": "manner",
"24": "money",
"25": "mount",
"26": "ord",
"27": "other",
"28": "perc",
"29": "period",
"30": "plant",
"31": "product",
"32": "reason",
"33": "religion",
"34": "speed",
"35": "sport",
"36": "state",
"37": "substance",
"38": "symbol",
"39": "techmeth",
"40": "temp",
"41": "termeq",
"42": "title",
"43": "veh",
"44": "volsize",
"45": "weight",
"46": "word"
},
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"body": 2,
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"ind": 19,
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"manner": 23,
"money": 24,
"mount": 25,
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"other": 27,
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"plant": 30,
"product": 31,
"reason": 32,
"religion": 33,
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"symbol": 38,
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"weight": 45,
"word": 46
},
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"model_type": "bert",
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"problem_type": "single_label_classification",
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}