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POS-bert-32K-midsize

Token Classification
Transformers
Safetensors
bert
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POS-bert-32K-midsize
File size: 1,262 Bytes 
2fc2246
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "turkish-nlp-suite/bert-32K-books",
  "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-_",
    "1": "B-ADJ",
    "2": "B-ADP",
    "3": "B-ADV",
    "4": "B-AUX",
    "5": "B-CCONJ",
    "6": "B-DET",
    "7": "B-INTJ",
    "8": "B-NOUN",
    "9": "B-NUM",
    "10": "B-PRON",
    "11": "B-PROPN",
    "12": "B-PUNCT",
    "13": "B-VERB",
    "14": "B-X"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-ADJ": 1,
    "B-ADP": 2,
    "B-ADV": 3,
    "B-AUX": 4,
    "B-CCONJ": 5,
    "B-DET": 6,
    "B-INTJ": 7,
    "B-NOUN": 8,
    "B-NUM": 9,
    "B-PRON": 10,
    "B-PROPN": 11,
    "B-PUNCT": 12,
    "B-VERB": 13,
    "B-X": 14,
    "B-_": 0
  },
  "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": "4.42.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 33000
}