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| | <dim>5</dim> |
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| | <port id="5" precision="U8"> |
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| | </port> |
| | </input> |
| | <output> |
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| | <dim>-1</dim> |
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| | <port id="7" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="8" precision="I32"> |
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| | <output> |
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| | <output> |
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| | </layer> |
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| | <output> |
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| | <output> |
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| | <dim>-1</dim> |
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| | <dim>-1</dim> |
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| | <port id="4" precision="I32" /> |
| | <port id="5" precision="I32"> |
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| | <output> |
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| | <dim>-1</dim> |
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| | <port id="8" precision="I32"> |
| | <dim>-1</dim> |
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| | <port id="9" precision="I32"> |
| | <dim>-1</dim> |
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| | <port id="10" precision="I32"> |
| | <dim>-1</dim> |
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| | <port id="11" precision="I32"> |
| | <dim>-1</dim> |
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| | <port id="12" precision="I32"> |
| | <dim>-1</dim> |
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| | </output> |
| | </layer> |
| | <layer id="47" name="Subtract_319779" type="Subtract" version="opset1"> |
| | <data auto_broadcast="numpy" /> |
| | <input> |
| | <port id="0" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="1" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | </input> |
| | <output> |
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| | </output> |
| | </layer> |
| | <layer id="48" name="Constant_319780" type="Const" version="opset1"> |
| | <data element_type="i32" shape="" offset="826807" size="4" /> |
| | <output> |
| | <port id="0" precision="I32" /> |
| | </output> |
| | </layer> |
| | <layer id="49" name="ReduceMax_319781" type="ReduceMax" version="opset1"> |
| | <data keep_dims="false" /> |
| | <input> |
| | <port id="0" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="1" precision="I32" /> |
| | </input> |
| | <output> |
| | <port id="2" precision="I32" /> |
| | </output> |
| | </layer> |
| | <layer id="50" name="Constant_319782" type="Const" version="opset1"> |
| | <data element_type="i32" shape="" offset="826807" size="4" /> |
| | <output> |
| | <port id="0" precision="I32" /> |
| | </output> |
| | </layer> |
| | <layer id="51" name="RaggedToDense_319783" type="RaggedToDense" version="extension"> |
| | <data pad_right="true" m_pad_max_length="false" /> |
| | <input> |
| | <port id="0" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="1" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="2" precision="I32"> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="3" precision="I32" /> |
| | <port id="4" precision="I32" /> |
| | </input> |
| | <output> |
| | <port id="5" precision="I32"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | <port id="6" precision="BOOL"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </output> |
| | </layer> |
| | <layer id="52" name="Convert_319784" type="Convert" version="opset1"> |
| | <data destination_type="i32" /> |
| | <input> |
| | <port id="0" precision="BOOL"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </input> |
| | <output> |
| | <port id="1" precision="I32"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </output> |
| | </layer> |
| | <layer id="53" name="Convert_319784.0" type="Convert" version="opset1"> |
| | <data destination_type="i64" /> |
| | <input> |
| | <port id="0" precision="I32"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </input> |
| | <output> |
| | <port id="1" precision="I64" names="attention_mask"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </output> |
| | </layer> |
| | <layer id="54" name="RaggedToDense_319783.0" type="Convert" version="opset1"> |
| | <data destination_type="i64" /> |
| | <input> |
| | <port id="0" precision="I32"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </input> |
| | <output> |
| | <port id="1" precision="I64" names="input_ids"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </output> |
| | </layer> |
| | <layer id="55" name="Result_319787" type="Result" version="opset1" output_names="input_ids"> |
| | <input> |
| | <port id="0" precision="I64"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </input> |
| | </layer> |
| | <layer id="56" name="Result_319789" type="Result" version="opset1" output_names="attention_mask"> |
| | <input> |
| | <port id="0" precision="I64"> |
| | <dim>-1</dim> |
| | <dim>-1</dim> |
| | </port> |
| | </input> |
| | </layer> |
| | </layers> |
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| | <rt_info> |
| | <add_attention_mask value="True" /> |
| | <add_prefix_space /> |
| | <add_special_tokens value="True" /> |
| | <clean_up_tokenization_spaces /> |
| | <detokenizer_input_type value="i64" /> |
| | <eos_token_id value="1" /> |
| | <handle_special_tokens_with_re /> |
| | <max_length /> |
| | <number_of_inputs value="1" /> |
| | <openvino_tokenizers_version value="2026.0.0.0-632-47cea02a2d4" /> |
| | <openvino_version value="2026.0.0-20965-c6d6a13a886-releases/2026/0" /> |
| | <original_post_processor_template value="{"type": "TemplateProcessing", "single": [{"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "</s>", "type_id": 0}}], "pair": [{"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "</s>", "type_id": 0}}, {"Sequence": {"id": "B", "type_id": 0}}, {"SpecialToken": {"id": "</s>", "type_id": 0}}], "special_tokens": {"</s>": {"id": "</s>", "ids": [1], "tokens": ["</s>"]}}}" /> |
| | <original_tokenizer_class value="<class 'transformers.models.t5.tokenization_t5_fast.T5TokenizerFast'>" /> |
| | <pad_token_id value="0" /> |
| | <processed_post_processor_template value="{"single": {"ids": [-1, 1], "type_ids": [0, 0]}, "pair": {"ids": [-1, 1, -2, 1], "type_ids": [0, 0, 0, 0]}}" /> |
| | <sentencepiece_version value="0.2.1" /> |
| | <skip_special_tokens value="True" /> |
| | <streaming_detokenizer value="False" /> |
| | <tokenizer_output_type value="i64" /> |
| | <tokenizers_version value="0.21.4" /> |
| | <transformers_version value="4.52.4" /> |
| | <use_max_padding value="False" /> |
| | <use_sentencepiece_backend value="False" /> |
| | <utf8_replace_mode value="replace" /> |
| | <with_detokenizer value="True" /> |
| | </rt_info> |
| | </net> |
| |
|
