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pred_genre

Text Classification Transformers PyTorch
Chinese bert classification Inference Endpoints
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pred_genre
File size: 1,629 Bytes 
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{
  "_name_or_path": "/content/drive/MyDrive/Github/Content/tools/models/model_predict_genre",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u4f20\u5947",
    "1": "\u4f20\u8bb0",
    "2": "\u5176\u5b83",
    "3": "\u519b\u65c5",
    "4": "\u519c\u6751",
    "5": "\u5bab\u5ef7",
    "6": "\u6b66\u6253",
    "7": "\u6d89\u6848",
    "8": "\u795e\u8bdd",
    "9": "\u79d1\u5e7b",
    "10": "\u90fd\u5e02",
    "11": "\u9752\u5c11",
    "12": "\u9769\u547d"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u4f20\u5947": 0,
    "\u4f20\u8bb0": 1,
    "\u5176\u5b83": 2,
    "\u519b\u65c5": 3,
    "\u519c\u6751": 4,
    "\u5bab\u5ef7": 5,
    "\u6b66\u6253": 6,
    "\u6d89\u6848": 7,
    "\u795e\u8bdd": 8,
    "\u79d1\u5e7b": 9,
    "\u90fd\u5e02": 10,
    "\u9752\u5c11": 11,
    "\u9769\u547d": 12
  },
  "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,
  "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",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.15.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}