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    "XLMRobertaForSequenceClassification"
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  "hidden_size": 1024,
  "id2label": {
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    "1": "Biodiversit\u00e9 - Alimentation biologique",
    "2": "Biodiversit\u00e9 - Fournitures et produits d'entretiens \u00e9cologiques",
    "3": "Biodiversit\u00e9 - Plan d'actions en faveur de la biodiversit\u00e9",
    "4": "Biodiversit\u00e9 - Protection de la faune et de la flore",
    "5": "Biodiversit\u00e9 - Sensibilisation \u00e0 la biodiversit\u00e9",
    "6": "Biodiversit\u00e9 - V\u00e9g\u00e9talisation",
    "7": "Aucun sentiment",
    "8": "negative",
    "9": "neutral",
    "10": "positive"
  },
  "initializer_range": 0.02,
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  "label2id": {
    "Aucun sentiment": 7,
    "Aucun th\u00e8me": 0,
    "Biodiversit\u00e9 - Alimentation biologique": 1,
    "Biodiversit\u00e9 - Fournitures et produits d'entretiens \u00e9cologiques": 2,
    "Biodiversit\u00e9 - Plan d'actions en faveur de la biodiversit\u00e9": 3,
    "Biodiversit\u00e9 - Protection de la faune et de la flore": 4,
    "Biodiversit\u00e9 - Sensibilisation \u00e0 la biodiversit\u00e9": 5,
    "Biodiversit\u00e9 - V\u00e9g\u00e9talisation": 6,
    "negative": 8,
    "neutral": 9,
    "positive": 10
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "transformers_version": "4.56.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}