config.json

{
  "_name_or_path": "dslim/bert-base-NER",
  "_num_labels": 9,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Product",
    "1": "I-Product",
    "2": "B-Trademark",
    "3": "I-Trademark",
    "4": "B-Country",
    "5": "I-Country",
    "6": "B-HSCode",
    "7": "I-HSCode",
    "8": "B-HSCodeEn",
    "9": "I-HSCodeEn",
    "10": "B-Manufacturer",
    "11": "I-Manufacturer",
    "12": "B-ModelNo",
    "13": "I-ModelNo"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Country": 4,
    "B-HSCode": 6,
    "B-HSCodeEn": 8,
    "B-Manufacturer": 10,
    "B-ModelNo": 12,
    "B-Product": 0,
    "B-Trademark": 2,
    "I-Country": 5,
    "I-HSCode": 7,
    "I-HSCodeEn": 9,
    "I-Manufacturer": 11,
    "I-ModelNo": 13,
    "I-Product": 1,
    "I-Trademark": 3
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.33.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}