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Non_CL

Text Classification
Transformers
PyTorch
Chinese
bert
Trained with AutoTrain
Inference Endpoints
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1
Non_CL
File size: 6,389 Bytes 
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{
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    "BertForSequenceClassification"
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  "directionality": "bidi",
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  "layer_norm_eps": 1e-12,
  "max_length": 192,
  "max_position_embeddings": 512,
  "model_type": "bert",
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  "pooler_num_attention_heads": 12,
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  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.20.0",
  "type_vocab_size": 2,
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}