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IDRISI-LMR-AR-random-typebased

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
IDRISI-LMR-AR-random-typebased
File size: 2,071 Bytes 
a3583d7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-CTRY",
    "1": "B-NBHD",
    "2": "B-ST",
    "3": "B-CITY",
    "4": "B-DIST",
    "5": "B-NPOI",
    "6": "B-HPOI",
    "7": "B-PROV",
    "8": "B-OTHR",
    "9": "I-CTRY",
    "10": "I-NBHD",
    "11": "I-ST",
    "12": "I-CITY",
    "13": "I-DIST",
    "14": "I-NPOI",
    "15": "I-HPOI",
    "16": "I-PROV",
    "17": "I-OTHR",
    "18": "L-CTRY",
    "19": "L-NBHD",
    "20": "L-ST",
    "21": "L-CITY",
    "22": "L-DIST",
    "23": "L-NPOI",
    "24": "L-HPOI",
    "25": "L-PROV",
    "26": "L-OTHR",
    "27": "U-CTRY",
    "28": "U-NBHD",
    "29": "U-ST",
    "30": "U-CITY",
    "31": "U-DIST",
    "32": "U-NPOI",
    "33": "U-HPOI",
    "34": "U-PROV",
    "35": "U-OTHR",
    "36": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-CITY": 3,
    "B-CTRY": 0,
    "B-DIST": 4,
    "B-HPOI": 6,
    "B-NBHD": 1,
    "B-NPOI": 5,
    "B-OTHR": 8,
    "B-PROV": 7,
    "B-ST": 2,
    "I-CITY": 12,
    "I-CTRY": 9,
    "I-DIST": 13,
    "I-HPOI": 15,
    "I-NBHD": 10,
    "I-NPOI": 14,
    "I-OTHR": 17,
    "I-PROV": 16,
    "I-ST": 11,
    "L-CITY": 21,
    "L-CTRY": 18,
    "L-DIST": 22,
    "L-HPOI": 24,
    "L-NBHD": 19,
    "L-NPOI": 23,
    "L-OTHR": 26,
    "L-PROV": 25,
    "L-ST": 20,
    "O": 36,
    "U-CITY": 30,
    "U-CTRY": 27,
    "U-DIST": 31,
    "U-HPOI": 33,
    "U-NBHD": 28,
    "U-NPOI": 32,
    "U-OTHR": 35,
    "U-PROV": 34,
    "U-ST": 29
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "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",
  "type_vocab_size": 2,
  "vocab_size": 100000
}