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{
"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
}
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