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celtics1863
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env-bert-cls-chinese

Text Classification Transformers PyTorch Chinese bert environment multi-class classification Inference Endpoints
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Update config.json

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  1. config.json +20 -20
config.json CHANGED
@@ -9,30 +9,30 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2",
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- "3": "LABEL_3",
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- "4": "LABEL_4",
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- "5": "LABEL_5",
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- "6": "LABEL_6",
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- "7": "LABEL_7",
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- "8": "LABEL_8",
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- "9": "LABEL_9"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2,
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- "LABEL_3": 3,
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- "LABEL_4": 4,
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- "LABEL_5": 5,
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- "LABEL_6": 6,
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- "LABEL_7": 7,
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- "LABEL_8": 8,
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- "LABEL_9": 9
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "环境影响评价与管理",
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+ "1": "碳排放控制",
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+ "2": "水污染与控制",
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+ "3": "大气污染与控制",
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+ "4": "土壤污染与控制",
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+ "5": "环境生态",
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+ "6": "固体废物",
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+ "7": "环境毒理与健康",
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+ "8": "环境微生物",
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+ "9": "环境政策与经济"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "环境影响评价与管理": 0,
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+ "碳排放控制": 1,
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+ "水污染与控制": 2,
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+ "大气污染与控制": 3,
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+ "土壤污染与控制": 4,
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+ "环境生态": 5,
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+ "固体废物": 6,
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+ "环境毒理与健康": 7,
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+ "环境微生物": 8,
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+ "环境政策与经济": 9
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,