Text Classification
Transformers
PyTorch
ONNX
Safetensors
English
deberta
Trained with AutoTrain
Inference Endpoints
Text-Moderation / config.json
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system HF staff
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{
"_name_or_path": "AutoTrain",
"_num_labels": 9,
"architectures": [
"DebertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "H",
"1": "H2",
"2": "HR",
"3": "OK",
"4": "S",
"5": "S3",
"6": "SH",
"7": "V",
"8": "V2"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"H": 0,
"H2": 1,
"HR": 2,
"OK": 3,
"S": 4,
"S3": 5,
"SH": 6,
"V": 7,
"V2": 8
},
"layer_norm_eps": 1e-07,
"max_length": 384,
"max_position_embeddings": 512,
"max_relative_positions": -1,
"model_type": "deberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"padding": "max_length",
"pooler_dropout": 0,
"pooler_hidden_act": "gelu",
"pooler_hidden_size": 768,
"pos_att_type": [
"c2p",
"p2c"
],
"position_biased_input": false,
"relative_attention": true,
"torch_dtype": "float32",
"transformers_version": "4.29.2",
"type_vocab_size": 0,
"vocab_size": 50265
}