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psybertpt
/
psyBERTpt

Token Classification
Transformers
PyTorch
Safetensors
Portuguese
bert
medical
Inference Endpoints
Model card Files Community
2
psyBERTpt
File size: 2,060 Bytes 
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{
  "_name_or_path": "neuralmind/bert-large-portuguese-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "O",
    "1": "B-Observacoes",
    "2": "I-Observacoes",
    "3": "B-Historico_Paciente",
    "4": "I-Historico_Paciente",
    "5": "B-Drogas",
    "6": "I-Drogas",
    "7": "B-Historico_Familiar",
    "8": "I-Historico_Familiar",
    "9": "B-Funcao_Psiquica",
    "10": "I-Funcao_Psiquica",
    "11": "B-Diagnosticos",
    "12": "I-Diagnosticos",
    "13": "B-Farmacos",
    "14": "I-Farmacos",
    "15": "B-Sintomas_e_Queixas_Ps\u00edquicas",
    "16": "I-Sintomas_e_Queixas_Ps\u00edquicas",
    "17": "B-Comportamento_Autodestrutivo",
    "18": "I-Comportamento_Autodestrutivo"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-Comportamento_Autodestrutivo": 17,
    "B-Diagnosticos": 11,
    "B-Drogas": 5,
    "B-Farmacos": 13,
    "B-Funcao_Psiquica": 9,
    "B-Historico_Familiar": 7,
    "B-Historico_Paciente": 3,
    "B-Observacoes": 1,
    "B-Sintomas_e_Queixas_Ps\u00edquicas": 15,
    "I-Comportamento_Autodestrutivo": 18,
    "I-Diagnosticos": 12,
    "I-Drogas": 6,
    "I-Farmacos": 14,
    "I-Funcao_Psiquica": 10,
    "I-Historico_Familiar": 8,
    "I-Historico_Paciente": 4,
    "I-Observacoes": 2,
    "I-Sintomas_e_Queixas_Ps\u00edquicas": 16,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.26.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 29794
}