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bstds
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id-roberta-ner

Token Classification
Transformers
PyTorch
xlm-roberta
Inference Endpoints
Model card Files Community
id-roberta-ner
File size: 2,252 Bytes 
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{
  "_name_or_path": "bstds/id-roberta-ner",
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "B-CRD",
    "1": "B-DAT",
    "2": "B-EVT",
    "3": "B-FAC",
    "4": "B-GPE",
    "5": "B-LAN",
    "6": "B-LAW",
    "7": "B-LOC",
    "8": "B-MON",
    "9": "B-NOR",
    "10": "B-ORD",
    "11": "B-ORG",
    "12": "B-PER",
    "13": "B-PRC",
    "14": "B-PRD",
    "15": "B-QTY",
    "16": "B-REG",
    "17": "B-TIM",
    "18": "B-WOA",
    "19": "I-CRD",
    "20": "I-DAT",
    "21": "I-EVT",
    "22": "I-FAC",
    "23": "I-GPE",
    "24": "I-LAN",
    "25": "I-LAW",
    "26": "I-LOC",
    "27": "I-MON",
    "28": "I-NOR",
    "29": "I-ORD",
    "30": "I-ORG",
    "31": "I-PER",
    "32": "I-PRC",
    "33": "I-PRD",
    "34": "I-QTY",
    "35": "I-REG",
    "36": "I-TIM",
    "37": "I-WOA",
    "38": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-CRD": "0",
    "B-DAT": "1",
    "B-EVT": "2",
    "B-FAC": "3",
    "B-GPE": "4",
    "B-LAN": "5",
    "B-LAW": "6",
    "B-LOC": "7",
    "B-MON": "8",
    "B-NOR": "9",
    "B-ORD": "10",
    "B-ORG": "11",
    "B-PER": "12",
    "B-PRC": "13",
    "B-PRD": "14",
    "B-QTY": "15",
    "B-REG": "16",
    "B-TIM": "17",
    "B-WOA": "18",
    "I-CRD": "19",
    "I-DAT": "20",
    "I-EVT": "21",
    "I-FAC": "22",
    "I-GPE": "23",
    "I-LAN": "24",
    "I-LAW": "25",
    "I-LOC": "26",
    "I-MON": "27",
    "I-NOR": "28",
    "I-ORD": "29",
    "I-ORG": "30",
    "I-PER": "31",
    "I-PRC": "32",
    "I-PRD": "33",
    "I-QTY": "34",
    "I-REG": "35",
    "I-TIM": "36",
    "I-WOA": "37",
    "O": "38"
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.26.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}