{
  "_name_or_path": "intfloat/multilingual-e5-small",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "id2label": {
    "0": "B\u00e9n\u00e9fices professionnels",
    "1": "Contr\u00f4le et contentieux",
    "2": "Dispositifs transversaux",
    "3": "Fiscalit\u00e9 des entreprises",
    "4": "Patrimoine et enregistrement",
    "5": "Revenus particuliers",
    "6": "Revenus patrimoniaux",
    "7": "Taxes sur la consommation"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "label2id": {
    "B\u00e9n\u00e9fices professionnels": 0,
    "Contr\u00f4le et contentieux": 1,
    "Dispositifs transversaux": 2,
    "Fiscalit\u00e9 des entreprises": 3,
    "Patrimoine et enregistrement": 4,
    "Revenus particuliers": 5,
    "Revenus patrimoniaux": 6,
    "Taxes sur la consommation": 7
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "tokenizer_class": "XLMRobertaTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.45.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 250037
}