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m3hrdadfi
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icelandic-ner-bert

Token Classification Transformers PyTorch TensorFlow Icelandic bert Inference Endpoints
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icelandic-ner-bert
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{
  "_name_or_path": "bert-base-multilingual-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-Date",
    "2": "B-Location",
    "3": "B-Miscellaneous",
    "4": "B-Money",
    "5": "B-Organization",
    "6": "B-Percent",
    "7": "B-Person",
    "8": "B-Time",
    "9": "I-Date",
    "10": "I-Location",
    "11": "I-Miscellaneous",
    "12": "I-Money",
    "13": "I-Organization",
    "14": "I-Percent",
    "15": "I-Person",
    "16": "I-Time"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Date": 1,
    "B-Location": 2,
    "B-Miscellaneous": 3,
    "B-Money": 4,
    "B-Organization": 5,
    "B-Percent": 6,
    "B-Person": 7,
    "B-Time": 8,
    "I-Date": 9,
    "I-Location": 10,
    "I-Miscellaneous": 11,
    "I-Money": 12,
    "I-Organization": 13,
    "I-Percent": 14,
    "I-Person": 15,
    "I-Time": 16,
    "O": 0
  },
  "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",
  "position_embedding_type": "absolute",
  "transformers_version": "4.7.0.dev0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}