POS-bert-32K-small / config.json
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{
"_name_or_path": "turkish-nlp-suite/bert-32K-minimal",
"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": 32000
}