config.json

{
  "_name_or_path": "minskiter/simbert-chinese-bert-wwm-ext",
  "tokenizer_class": "BertTokenizer",
  "architectures": [
    "SimBertModel"
  ],
  "custom_pipelines": {
    "sentences_sim": {
      "impl": "minskiter/simbert-chinese-bert-wwm-ext--similar.SimilarPipeline",
      "pt": "AutoModel",
      "tf": []
    }
  },
  "auto_map":{
    "AutoModel": "minskiter/simbert-chinese-bert-wwm-ext--modeling_bert.SimBertModel",
    "AutoConfig": "minskiter/simbert-chinese-bert-wwm-ext--configuration_bert.SimBertConfig"
  },
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "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": "simbert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.30.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}