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{
  "_name_or_path": "microsoft/Multilingual-MiniLM-L12-H384",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "id2label": {
    "0": "❀",
    "1": "😍",
    "2": "πŸ˜‚",
    "3": "πŸ’•",
    "4": "πŸ”₯",
    "5": "😊",
    "6": "😎",
    "7": "✨",
    "8": "πŸ’™",
    "9": "😘",
    "10": "πŸ“·",
    "11": "πŸ‡ΊπŸ‡Έ",
    "12": "β˜€",
    "13": "πŸ’œ",
    "14": "πŸ˜‰",
    "15": "πŸ’―",
    "16": "😁",
    "17": "πŸŽ„",
    "18": "πŸ“Έ",
    "19": "😜"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "label2id": {
    "❀": 0,
    "😍": 1,
    "πŸ˜‚": 2,
    "πŸ’•": 3,
    "πŸ”₯": 4,
    "😊": 5,
    "😎": 6,
    "✨": 7,
    "πŸ’™": 8,
    "😘": 9,
    "πŸ“·": 10,
    "πŸ‡ΊπŸ‡Έ": 11,
    "β˜€": 12,
    "πŸ’œ": 13,
    "πŸ˜‰": 14,
    "πŸ’―": 15,
    "😁": 16,
    "πŸŽ„": 17,
    "πŸ“Έ": 18,
    "😜": 19
  },
  "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",
  "problem_type": "single_label_classification",
  "tokenizer_class": "XLMRobertaTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 250037
}