Commit
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364e34f
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Parent(s):
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Upload 6 files
Browse files- config.json +52 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "dbmdz/bert-base-turkish-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Alaksız İhbar",
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"1": "Barınma İhtiyacı",
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"2": "Elektrik Kaynağı",
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"3": "Enkaz Kaldırma İhbarı",
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"4": "Giysi İhtiyacı",
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"5": "Isınma İhtiyacı",
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"6": "Lojistik Destek Talebi",
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"7": "Acil Sağlık Yardımı Talebi",
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"8": "Su İhtiyacı",
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"9": "Yağma Olay Bildirimi",
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"10": "Yemek İhtiyacı"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Alaksız İhbar": 0,
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"Barınma İhtiyacı": 1,
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"Elektrik Kaynağı": 2,
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"Enkaz Kaldırma İhbarı": 3,
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"Giysi İhtiyacı": 4,
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"Isınma İhtiyacı": 5,
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"Lojistik Destek Talebi": 6,
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"Acil Sağlık Yardımı Talebi": 7,
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"Su İhtiyacı": 8,
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"Yağma Olay Bildirimi": 9,
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"Yemek İhtiyacı": 10
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.33.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0872729bfca6ad69083cb04ea413b97bbb0579858750532b826884eebf9a814e
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size 442571569
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_len": 512,
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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