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THUCNews_ernie

Text Classification
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TensorFlow
bert
Inference Endpoints
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THUCNews_ernie
File size: 944 Bytes 
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{
  "_name_or_path": "nghuyong/ernie-1.0",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "finetuning_task": "text-classification",
  "gradient_checkpointing": false,
  "hidden_act": "relu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 513,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.7.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 18000
}