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{
"architectures": [
"T5ForConditionalGeneration"
],
"d_ff": 2048,
"d_kv": 64,
"d_model": 512,
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"layer_norm_epsilon": 1e-06,
"model_type": "t5",
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"num_layers": 6,
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"relative_attention_num_buckets": 32,
"tokenizer_class": "BertTokenizer",
"vocab_size": 21228
}