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erickrribeiro
/
ner_model

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
ner_model
File size: 2,198 Bytes 
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{
  "_name_or_path": "neuralmind/bert-base-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": 768,
  "id2label": {
    "0": "O",
    "1": "B-APLICATIVO",
    "2": "I-APLICATIVO",
    "3": "B-ATENDIMENTO",
    "4": "I-ATENDIMENTO",
    "5": "B-AUDIO",
    "6": "I-AUDIO",
    "7": "B-BATERIA",
    "8": "I-BATERIA",
    "9": "B-CONEX\u00c3O",
    "10": "I-CONEX\u00c3O",
    "11": "B-DESEMPENHO",
    "12": "I-DESEMPENHO",
    "13": "B-DESIGN",
    "14": "I-DESIGN",
    "15": "B-HARDWARE",
    "16": "I-HARDWARE",
    "17": "B-MARCA",
    "18": "I-MARCA",
    "19": "B-MEMORIA",
    "20": "I-MEMORIA",
    "21": "B-PRE\u00c7O",
    "22": "I-PRE\u00c7O",
    "23": "B-SISTEMA",
    "24": "I-SISTEMA",
    "25": "B-TECLADO",
    "26": "I-TECLADO",
    "27": "B-TELA",
    "28": "I-TELA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-APLICATIVO": 1,
    "B-ATENDIMENTO": 3,
    "B-AUDIO": 5,
    "B-BATERIA": 7,
    "B-CONEX\u00c3O": 9,
    "B-DESEMPENHO": 11,
    "B-DESIGN": 13,
    "B-HARDWARE": 15,
    "B-MARCA": 17,
    "B-MEMORIA": 19,
    "B-PRE\u00c7O": 21,
    "B-SISTEMA": 23,
    "B-TECLADO": 25,
    "B-TELA": 27,
    "I-APLICATIVO": 2,
    "I-ATENDIMENTO": 4,
    "I-AUDIO": 6,
    "I-BATERIA": 8,
    "I-CONEX\u00c3O": 10,
    "I-DESEMPENHO": 12,
    "I-DESIGN": 14,
    "I-HARDWARE": 16,
    "I-MARCA": 18,
    "I-MEMORIA": 20,
    "I-PRE\u00c7O": 22,
    "I-SISTEMA": 24,
    "I-TECLADO": 26,
    "I-TELA": 28,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "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": "4.36.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 29794
}