rna_mlm_model / config.json
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{
"_name_or_path": "AIRI-Institute/gena-lm-bert-base-t2t",
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoModel": "AIRI-Institute/gena-lm-bert-base-t2t--modeling_bert.BertForMaskedLM"
},
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"last_layer_norm": false,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 3,
"position_embedding_type": "absolute",
"pre_layer_norm": true,
"torch_dtype": "float32",
"transformers_version": "4.33.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32000
}