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{
"_name_or_path": "VietAI/vit5-base",
"architectures": [
"T5ForSequenceClassification"
],
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"is_encoder_decoder": true,
"is_gated_act": false,
"layer_norm_epsilon": 1e-06,
"model_type": "t5",
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"num_decoder_layers": 12,
"num_heads": 12,
"num_layers": 12,
"output_past": true,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"torch_dtype": "float32",
"transformers_version": "4.35.2",
"use_cache": true,
"vocab_size": 36096
}
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