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kyleinincubated
/
autonlp-cat333-624217911

Text Classification
Transformers
PyTorch
Chinese
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
autonlp-cat333-624217911
File size: 2,903 Bytes 
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{
  "_name_or_path": "AutoNLP",
  "_num_labels": 29,
  "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": {
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    "19": "\u7535\u6c14\u8bbe\u5907",
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    "22": "\u8f7b\u5de5\u5236\u9020",
    "23": "\u901a\u4fe1",
    "24": "\u91c7\u77ff\u4e1a",
    "25": "\u94a2\u94c1",
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    "27": "\u975e\u94f6\u91d1\u878d",
    "28": "\u98df\u54c1\u996e\u6599"
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  "intermediate_size": 3072,
  "label2id": {
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    "\u98df\u54c1\u996e\u6599": 28
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  "layer_norm_eps": 1e-12,
  "max_length": 128,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "padding": "max_length",
  "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
}