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{
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"MT5ForConditionalGeneration"
],
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"is_encoder_decoder": true,
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"layer_norm_epsilon": 1e-06,
"model_type": "mt5",
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"num_heads": 16,
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"output_past": true,
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"relative_attention_num_buckets": 32,
"tie_word_embeddings": false,
"tokenizer_class": "T5Tokenizer",
"torch_dtype": "float32",
"transformers_version": "4.32.0.dev0",
"use_cache": true,
"vocab_size": 250112
}
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