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{
  "_name_or_path": "xlm-roberta-large",
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
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  "id2label": {
    "1": "B-CARDINAL",
    "2": "I-CARDINAL",
    "3": "B-DATE",
    "4": "I-DATE",
    "5": "B-EVENT",
    "6": "I-EVENT",
    "7": "B-GPE",
    "8": "I-GPE",
    "9": "B-LOC",
    "10": "I-LOC",
    "11": "B-MONEY",
    "12": "I-MONEY",
    "13": "O",
    "14": "B-ORDINAL",
    "15": "B-ORG",
    "16": "I-ORG",
    "17": "B-PERCENT",
    "18": "I-PERCENT",
    "19": "B-PERSON",
    "20": "I-PERSON",
    "21": "B-TIME",
    "22": "I-TIME"
  },
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    "B-GPE": 7,
    "B-LOC": 9,
    "B-MONEY": 11,
    "B-ORDINAL": 14,
    "B-ORG": 15,
    "B-PERCENT": 17,
    "B-PERSON": 19,
    "B-TIME": 21,
    "I-CARDINAL": 2,
    "I-DATE": 4,
    "I-EVENT": 6,
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    "I-MONEY": 12,
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    "I-PERCENT": 18,
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  },
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  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float16",
  "transformers_version": "4.49.0",
  "type_vocab_size": 1,
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}