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rubert_tner_model

Token Classification
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rubert_tner_model
File size: 2,186 Bytes 
11e7262
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "DeepPavlov/rubert-base-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-PER",
    "2": "I-PER",
    "3": "B-LOC",
    "4": "I-LOC",
    "5": "B-ORG",
    "6": "I-ORG",
    "7": "B-ANIM",
    "8": "I-ANIM",
    "9": "B-BIO",
    "10": "I-BIO",
    "11": "B-CEL",
    "12": "I-CEL",
    "13": "B-DIS",
    "14": "I-DIS",
    "15": "B-EVE",
    "16": "I-EVE",
    "17": "B-FOOD",
    "18": "I-FOOD",
    "19": "B-INST",
    "20": "I-INST",
    "21": "B-MEDIA",
    "22": "I-MEDIA",
    "23": "B-PLANT",
    "24": "I-PLANT",
    "25": "B-MYTH",
    "26": "I-MYTH",
    "27": "B-TIME",
    "28": "I-TIME",
    "29": "B-VEHI",
    "30": "I-VEHI",
    "31": "B-SUPER",
    "32": "I-SUPER",
    "33": "B-PHY",
    "34": "I-PHY"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-ANIM": 7,
    "B-BIO": 9,
    "B-CEL": 11,
    "B-DIS": 13,
    "B-EVE": 15,
    "B-FOOD": 17,
    "B-INST": 19,
    "B-LOC": 3,
    "B-MEDIA": 21,
    "B-MYTH": 25,
    "B-ORG": 5,
    "B-PER": 1,
    "B-PHY": 33,
    "B-PLANT": 23,
    "B-SUPER": 31,
    "B-TIME": 27,
    "B-VEHI": 29,
    "I-ANIM": 8,
    "I-BIO": 10,
    "I-CEL": 12,
    "I-DIS": 14,
    "I-EVE": 16,
    "I-FOOD": 18,
    "I-INST": 20,
    "I-LOC": 4,
    "I-MEDIA": 22,
    "I-MYTH": 26,
    "I-ORG": 6,
    "I-PER": 2,
    "I-PHY": 34,
    "I-PLANT": 24,
    "I-SUPER": 32,
    "I-TIME": 28,
    "I-VEHI": 30,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.31.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}