config.json

{
  "_name_or_path": "weiweishi/roc-bert-base-zh",
  "architectures": [
    "RoCBertForPreTraining"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "concat_input": true,
  "directionality": "bidi",
  "enable_cls": true,
  "enable_pronunciation": true,
  "enable_shape": true,
  "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": "roc_bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "pronunciation_embed_dim": 768,
  "pronunciation_vocab_size": 910,
  "shape_embed_dim": 512,
  "shape_vocab_size": 24858,
  "torch_dtype": "float32",
  "transformers_version": "4.24.0.dev0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}