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{
  "add_cross_attention": false,
  "architectures": [
    "BertForMultiLabelTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "configuration_multilabelbert.MultiLabelBertConfig",
    "AutoModelForTokenClassification": "modeling_multilabelbert.BertForMultiLabelTokenClassification"
  },
  "bos_token_id": null,
  "classifier_dropout": null,
  "custom_pipelines": {
    "multilabel-ner": {
      "default": {
        "model": {
          "pt": [
            "jvaquet/multilabel-classification-bert",
            "main"
          ]
        }
      },
      "impl": "multilabel_ner.MultilabelNerPipeline",
      "pt": [
        "AutoModelForTokenClassification"
      ],
      "type": "text"
    }
  },
  "directionality": "bidi",
  "dtype": "float32",
  "eos_token_id": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "B-GPE",
    "1": "I-GPE",
    "2": "E-GPE",
    "3": "S-GPE",
    "4": "B-VEH",
    "5": "I-VEH",
    "6": "E-VEH",
    "7": "S-VEH",
    "8": "B-PER",
    "9": "I-PER",
    "10": "E-PER",
    "11": "S-PER",
    "12": "B-WEA",
    "13": "I-WEA",
    "14": "E-WEA",
    "15": "S-WEA",
    "16": "B-FAC",
    "17": "I-FAC",
    "18": "E-FAC",
    "19": "S-FAC",
    "20": "B-LOC",
    "21": "I-LOC",
    "22": "E-LOC",
    "23": "S-LOC",
    "24": "B-ORG",
    "25": "I-ORG",
    "26": "E-ORG",
    "27": "S-ORG"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "is_decoder": false,
  "label2id": {
    "B-FAC": 16,
    "B-GPE": 0,
    "B-LOC": 20,
    "B-ORG": 24,
    "B-PER": 8,
    "B-VEH": 4,
    "B-WEA": 12,
    "E-FAC": 18,
    "E-GPE": 2,
    "E-LOC": 22,
    "E-ORG": 26,
    "E-PER": 10,
    "E-VEH": 6,
    "E-WEA": 14,
    "I-FAC": 17,
    "I-GPE": 1,
    "I-LOC": 21,
    "I-ORG": 25,
    "I-PER": 9,
    "I-VEH": 5,
    "I-WEA": 13,
    "S-FAC": 19,
    "S-GPE": 3,
    "S-LOC": 23,
    "S-ORG": 27,
    "S-PER": 11,
    "S-VEH": 7,
    "S-WEA": 15
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "MultiLabelBert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "tie_word_embeddings": true,
  "transformers_version": "5.5.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}