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Token Classification
Transformers
PyTorch
JAX
roberta
Inference Endpoints
Model card Files Community
1
medslabs
File size: 1,995 Bytes 
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{
  "_name_or_path": "spanberta-ner",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "eos_token_ids": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-AMOU",
    "1": "B-CED",
    "2": "B-CONC",
    "3": "B-DATE",
    "4": "B-DOSE",
    "5": "B-FORM",
    "6": "B-FREQ",
    "7": "B-IDTY",
    "8": "B-LAB",
    "9": "B-LOC",
    "10": "B-MED",
    "11": "B-MISC",
    "12": "B-ORG",
    "13": "B-PER",
    "14": "B-PERI",
    "15": "B-POS",
    "16": "B-PROC",
    "17": "B-ROA",
    "18": "I-AMOU",
    "19": "I-CED",
    "20": "I-CONC",
    "21": "I-DATE",
    "22": "I-DOSE",
    "23": "I-FORM",
    "24": "I-FREQ",
    "25": "I-IDTY",
    "26": "I-LAB",
    "27": "I-LOC",
    "28": "I-MED",
    "29": "I-MISC",
    "30": "I-ORG",
    "31": "I-PER",
    "32": "I-PERI",
    "33": "I-POS",
    "34": "I-PROC",
    "35": "I-ROA",
    "36": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AMOU": 0,
    "B-CED": 1,
    "B-CONC": 2,
    "B-DATE": 3,
    "B-DOSE": 4,
    "B-FORM": 5,
    "B-FREQ": 6,
    "B-IDTY": 7,
    "B-LAB": 8,
    "B-LOC": 9,
    "B-MED": 10,
    "B-MISC": 11,
    "B-ORG": 12,
    "B-PER": 13,
    "B-PERI": 14,
    "B-POS": 15,
    "B-PROC": 16,
    "B-ROA": 17,
    "I-AMOU": 18,
    "I-CED": 19,
    "I-CONC": 20,
    "I-DATE": 21,
    "I-DOSE": 22,
    "I-FORM": 23,
    "I-FREQ": 24,
    "I-IDTY": 25,
    "I-LAB": 26,
    "I-LOC": 27,
    "I-MED": 28,
    "I-MISC": 29,
    "I-ORG": 30,
    "I-PER": 31,
    "I-PERI": 32,
    "I-POS": 33,
    "I-PROC": 34,
    "I-ROA": 35,
    "O": 36
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "type_vocab_size": 1,
  "vocab_size": 50265
}