Config of KoBERT

[minhson-kaist]

Hi,

Thanks for releasing the model. I want to ask how I can get the config file of KoBert. For example, the config of BERT is like:

BertConfig {
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"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",
"transformers_version": "4.5.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}

[haven-jeon]

You can check the config with the following code.

model, vocab  = get_pytorch_kobert_model()
model.config

[minhson-kaist]

You can check the config with the following code.

model, vocab  = get_pytorch_kobert_model()
model.config

Thanks for your answer!