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SKNahin
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NER_YOSO2

Token Classification
Transformers
Safetensors
yoso
Inference Endpoints
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NER_YOSO2
File size: 1,456 Bytes 
957773e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "SKNahin/NER_YOSO",
  "architectures": [
    "YosoForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "conv_window": null,
  "eos_token_id": 2,
  "hash_code_len": 9,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-USERNAME",
    "2": "B-EMAIL",
    "3": "B-NAME_STUDENT",
    "4": "I-NAME_STUDENT",
    "5": "B-ID_NUM",
    "6": "I-ID_NUM",
    "7": "B-PHONE_NUM",
    "8": "I-PHONE_NUM",
    "9": "B-STREET_ADDRESS",
    "10": "I-STREET_ADDRESS",
    "11": "B-URL_PERSONAL",
    "12": "I-URL_PERSONAL"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-EMAIL": 2,
    "B-ID_NUM": 5,
    "B-NAME_STUDENT": 3,
    "B-PHONE_NUM": 7,
    "B-STREET_ADDRESS": 9,
    "B-URL_PERSONAL": 11,
    "B-USERNAME": 1,
    "I-ID_NUM": 6,
    "I-NAME_STUDENT": 4,
    "I-PHONE_NUM": 8,
    "I-STREET_ADDRESS": 10,
    "I-URL_PERSONAL": 12,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "lsh_backward": true,
  "max_position_embeddings": 4096,
  "model_type": "yoso",
  "num_attention_heads": 12,
  "num_hash": 64,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "tokenizer_class": "AlbertTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.37.0",
  "type_vocab_size": 1,
  "use_expectation": true,
  "use_fast_hash": true,
  "vocab_size": 50265
}