Text Classification
sentence-transformers
Safetensors
Japanese
bert
feature-extraction
File size: 1,397 Bytes
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{
  "added_tokens_decoder": {
    "0": {
      "content": "[PAD]",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "1": {
      "content": "[UNK]",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "2": {
      "content": "[CLS]",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "3": {
      "content": "[SEP]",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "4": {
      "content": "[MASK]",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    }
  },
  "clean_up_tokenization_spaces": true,
  "cls_token": "[CLS]",
  "do_lower_case": false,
  "do_subword_tokenize": true,
  "do_word_tokenize": true,
  "jumanpp_kwargs": null,
  "mask_token": "[MASK]",
  "mecab_kwargs": {
    "mecab_dic": "unidic_lite"
  },
  "model_max_length": 512,
  "never_split": null,
  "pad_token": "[PAD]",
  "sep_token": "[SEP]",
  "subword_tokenizer_type": "wordpiece",
  "sudachi_kwargs": null,
  "tokenizer_class": "BertJapaneseTokenizer",
  "unk_token": "[UNK]",
  "word_tokenizer_type": "mecab"
}