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SLIDE-base
File size: 1,408 Bytes 
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{
  "_name_or_path": "ltg/norbert3-base",
  "architectures": [
    "NorbertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "ltg/norbert3-base--configuration_norbert.NorbertConfig",
    "AutoModel": "ltg/norbert3-base--modeling_norbert.NorbertModel",
    "AutoModelForMaskedLM": "ltg/norbert3-base--modeling_norbert.NorbertForMaskedLM",
    "AutoModelForMultipleChoice": "ltg/norbert3-base--modeling_norbert.NorbertForMultipleChoice",
    "AutoModelForQuestionAnswering": "ltg/norbert3-base--modeling_norbert.NorbertForQuestionAnswering",
    "AutoModelForSequenceClassification": "ltg/norbert3-base--modeling_norbert.NorbertForSequenceClassification",
    "AutoModelForTokenClassification": "ltg/norbert3-base--modeling_norbert.NorbertForTokenClassification"
  },
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "da",
    "1": "nb",
    "2": "nn",
    "3": "other",
    "4": "sv"
  },
  "intermediate_size": 2048,
  "label2id": {
    "da": 0,
    "nb": 1,
    "nn": 2,
    "other": 3,
    "sv": 4
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_all_encoded_layers": true,
  "position_bucket_size": 32,
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "vocab_size": 50003
}