config.json

{
  "architectures": [
    "NorbertForMaskedLM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "configuration_norbert.NorbertConfig",
    "AutoModel": "modeling_norbert.NorbertModel",
    "AutoModelForMaskedLM": "modeling_norbert.NorbertForMaskedLM",
    "AutoModelForMultipleChoice": "modeling_norbert.NorbertForMultipleChoice",
    "AutoModelForQuestionAnswering": "modeling_norbert.NorbertForQuestionAnswering",
    "AutoModelForSequenceClassification": "modeling_norbert.NorbertForSequenceClassification",
    "AutoModelForTokenClassification": "modeling_norbert.NorbertForTokenClassification"
  },
  "dtype": "float32",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "intermediate_size": 2048,
  "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,
  "transformers_version": "4.57.6",
  "vocab_size": 50000
}