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NER
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{
"_name_or_path": "dslim/distilbert-NER",
"activation": "gelu",
"architectures": [
"DistilBertForTokenClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "B-PER",
"1": "I-PER",
"2": "B-LOC",
"3": "I-LOC",
"4": "O"
},
"initializer_range": 0.02,
"label2id": {
"B-LOC": 2,
"B-PER": 0,
"I-LOC": 3,
"I-PER": 1,
"O": 4
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"output_past": true,
"pad_token_id": 0,
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"vocab_size": 28996
}