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TelecomNerFinetuned_Model

Token Classification
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Safetensors
bert
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xet
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TelecomNerFinetuned_Model
File size: 2,261 Bytes 
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{
  "_name_or_path": "bert-base-uncased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B- Protocol",
    "1": "B-Cause Code",
    "2": "B-Connection",
    "3": "B-Device",
    "4": "B-Interface",
    "5": "B-Item",
    "6": "B-Measurement",
    "7": "B-Message",
    "8": "B-Miscellaneous",
    "9": "B-Mode",
    "10": "B-Network",
    "11": "B-Network Function",
    "12": "B-Organization",
    "13": "B-Parameter",
    "14": "B-Procedure",
    "15": "B-Protocol",
    "16": "B-Service",
    "17": "B-Specification",
    "18": "B-State",
    "19": "B-Technology",
    "20": "B-Working Group",
    "21": "I-Cause Code",
    "22": "I-Connection",
    "23": "I-Device",
    "24": "I-Interface",
    "25": "I-Message",
    "26": "I-Mode",
    "27": "I-Network Function",
    "28": "I-Parameter",
    "29": "I-Protocol",
    "30": "I-Specification",
    "31": "I-State",
    "32": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B- Protocol": 0,
    "B-Cause Code": 1,
    "B-Connection": 2,
    "B-Device": 3,
    "B-Interface": 4,
    "B-Item": 5,
    "B-Measurement": 6,
    "B-Message": 7,
    "B-Miscellaneous": 8,
    "B-Mode": 9,
    "B-Network": 10,
    "B-Network Function": 11,
    "B-Organization": 12,
    "B-Parameter": 13,
    "B-Procedure": 14,
    "B-Protocol": 15,
    "B-Service": 16,
    "B-Specification": 17,
    "B-State": 18,
    "B-Technology": 19,
    "B-Working Group": 20,
    "I-Cause Code": 21,
    "I-Connection": 22,
    "I-Device": 23,
    "I-Interface": 24,
    "I-Message": 25,
    "I-Mode": 26,
    "I-Network Function": 27,
    "I-Parameter": 28,
    "I-Protocol": 29,
    "I-Specification": 30,
    "I-State": 31,
    "O": 32
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.46.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}