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{
  "_name_or_path": "bert-base-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
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  "id2label": {
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    "29": "tv",
    "30": "treinamento",
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    "32": "dw",
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  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
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  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
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}