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is-new-dataset-from-abstract

Text Classification
sentence-transformers
PyTorch
setfit
mpnet
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is-new-dataset-from-abstract
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{
  "added_tokens_decoder": {
    "0": {
      "content": "<s>",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "1": {
      "content": "<pad>",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "2": {
      "content": "</s>",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "104": {
      "content": "[UNK]",
      "lstrip": false,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    },
    "30526": {
      "content": "<mask>",
      "lstrip": true,
      "normalized": false,
      "rstrip": false,
      "single_word": false,
      "special": true
    }
  },
  "additional_special_tokens": [],
  "bos_token": "<s>",
  "clean_up_tokenization_spaces": true,
  "cls_token": "<s>",
  "do_basic_tokenize": true,
  "do_lower_case": true,
  "eos_token": "</s>",
  "mask_token": "<mask>",
  "model_max_length": 512,
  "never_split": null,
  "pad_token": "<pad>",
  "sep_token": "</s>",
  "strip_accents": null,
  "tokenize_chinese_chars": true,
  "tokenizer_class": "MPNetTokenizer",
  "unk_token": "[UNK]"
}