config.json

{
  "_name_or_path": "google/rembert",
  "architectures": [
    "RemBertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0,
  "bos_token_id": 312,
  "classifier_dropout_prob": 0.1,
  "embedding_dropout_prob": 0,
  "embedding_size": 256,
  "eos_token_id": 313,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0,
  "hidden_size": 1152,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8"
  },
  "initializer_range": 0.02,
  "input_embedding_size": 256,
  "intermediate_size": 4608,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "rembert",
  "num_attention_heads": 18,
  "num_hidden_layers": 32,
  "output_embedding_size": 1664,
  "pad_token_id": 0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.36.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 250300
}