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Sahajtomar
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NER_legal_de

Token Classification
Transformers
PyTorch
TensorFlow
JAX
German
bert
NER
Inference Endpoints
Model card Files Community
1
NER_legal_de
File size: 1,939 Bytes 
0a0e969
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "C:\\Users\\Lenovo\\PycharmProjects\\pythonProject\\Legal NER",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "B-AN",
    "1": "B-EUN",
    "2": "B-GRT",
    "3": "B-GS",
    "4": "B-INN",
    "5": "B-LD",
    "6": "B-LDS",
    "7": "B-LIT",
    "8": "B-MRK",
    "9": "B-ORG",
    "10": "B-PER",
    "11": "B-RR",
    "12": "B-RS",
    "13": "B-ST",
    "14": "B-STR",
    "15": "B-UN",
    "16": "B-VO",
    "17": "B-VS",
    "18": "B-VT",
    "19": "I-AN",
    "20": "I-EUN",
    "21": "I-GRT",
    "22": "I-GS",
    "23": "I-INN",
    "24": "I-LD",
    "25": "I-LDS",
    "26": "I-LIT",
    "27": "I-MRK",
    "28": "I-ORG",
    "29": "I-PER",
    "30": "I-RR",
    "31": "I-RS",
    "32": "I-ST",
    "33": "I-STR",
    "34": "I-UN",
    "35": "I-VO",
    "36": "I-VS",
    "37": "I-VT",
    "38": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-AN": 0,
    "B-EUN": 1,
    "B-GRT": 2,
    "B-GS": 3,
    "B-INN": 4,
    "B-LD": 5,
    "B-LDS": 6,
    "B-LIT": 7,
    "B-MRK": 8,
    "B-ORG": 9,
    "B-PER": 10,
    "B-RR": 11,
    "B-RS": 12,
    "B-ST": 13,
    "B-STR": 14,
    "B-UN": 15,
    "B-VO": 16,
    "B-VS": 17,
    "B-VT": 18,
    "I-AN": 19,
    "I-EUN": 20,
    "I-GRT": 21,
    "I-GS": 22,
    "I-INN": 23,
    "I-LD": 24,
    "I-LDS": 25,
    "I-LIT": 26,
    "I-MRK": 27,
    "I-ORG": 28,
    "I-PER": 29,
    "I-RR": 30,
    "I-RS": 31,
    "I-ST": 32,
    "I-STR": 33,
    "I-UN": 34,
    "I-VO": 35,
    "I-VS": 36,
    "I-VT": 37,
    "O": 38
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "type_vocab_size": 2,
  "vocab_size": 31102
}