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Upload openvino_tokenizer.xml with huggingface_hub

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openvino_tokenizer.xml ADDED
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="35" name="Constant_1041079" type="Const" version="opset1">
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+ <output>
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+ </layer>
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+ <data auto_broadcast="numpy" />
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+ <input>
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="37" name="Add_1041081" type="Add" version="opset1">
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+ <data auto_broadcast="numpy" />
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+ <input>
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="2" precision="I32">
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="38" name="Constant_1041085" type="Const" version="opset1">
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+ <data element_type="i32" shape="2" offset="12" size="8" />
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+ <output>
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+ <port id="0" precision="I32">
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+ <dim>2</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="39" name="CombineSegments_1041086" type="CombineSegments" version="extension">
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+ <input>
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+ <port id="0" precision="I32" />
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+ <port id="1" precision="I32" />
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+ </port>
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+ </input>
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+ <dim>-1</dim>
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+ </port>
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+ <dim>-1</dim>
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+ </port>
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="40" name="Subtract_1041087" type="Subtract" version="opset1">
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+ <data auto_broadcast="numpy" />
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+ <input>
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+ <dim>-1</dim>
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+ </port>
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="2" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
615
+ <layer id="41" name="Constant_1041088" type="Const" version="opset1">
616
+ <data element_type="i32" shape="" offset="0" size="4" />
617
+ <output>
618
+ <port id="0" precision="I32" />
619
+ </output>
620
+ </layer>
621
+ <layer id="42" name="ReduceMax_1041089" type="ReduceMax" version="opset1">
622
+ <data keep_dims="false" />
623
+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="1" precision="I32" />
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+ </input>
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+ <output>
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+ <port id="2" precision="I32" />
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+ </output>
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+ </layer>
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+ <layer id="43" name="Constant_1041090" type="Const" version="opset1">
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+ <data element_type="i32" shape="" offset="0" size="4" />
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+ <output>
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+ <port id="0" precision="I32" />
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+ </output>
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+ </layer>
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+ <layer id="44" name="RaggedToDense_1041091" type="RaggedToDense" version="extension">
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+ <data pad_right="false" />
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+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="2" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="3" precision="I32" />
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+ <port id="4" precision="I32" />
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+ </input>
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+ <output>
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+ <port id="5" precision="I32">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
658
+ </port>
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+ <port id="6" precision="BOOL">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
663
+ </output>
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+ </layer>
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+ <layer id="45" name="Convert_1041092" type="Convert" version="opset1">
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+ <data destination_type="i32" />
667
+ <input>
668
+ <port id="0" precision="BOOL">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <dim>-1</dim>
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+ <dim>-1</dim>
677
+ </port>
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+ </output>
679
+ </layer>
680
+ <layer id="46" name="Convert_1041092" type="Convert" version="opset1">
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+ <data destination_type="i64" />
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+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="1" precision="I64" names="attention_mask">
690
+ <dim>-1</dim>
691
+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="48" name="RaggedToDense_1041091.0" type="Convert" version="opset1">
696
+ <data destination_type="i64" />
697
+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="1" precision="I64" names="input_ids">
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+ <dim>-1</dim>
706
+ <dim>-1</dim>
707
+ </port>
708
+ </output>
709
+ </layer>
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+ <layer id="49" name="Result_1041095" type="Result" version="opset1">
711
+ <input>
712
+ <port id="0" precision="I64">
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+ <dim>-1</dim>
714
+ <dim>-1</dim>
715
+ </port>
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+ </input>
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+ </layer>
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+ <layer id="47" name="Result_1041097" type="Result" version="opset1">
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+ <input>
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </input>
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+ </layers>
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+ </edges>
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+ <rt_info>
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+ <add_attention_mask value="True" />
812
+ <add_prefix_space />
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+ <add_special_tokens value="True" />
814
+ <bos_token_id value="2" />
815
+ <chat_template value="{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '&lt;start_of_turn>' + role + '&#10;' + message['content'] | trim + '&lt;end_of_turn>&#10;' }}{% endfor %}{% if add_generation_prompt %}{{'&lt;start_of_turn>model&#10;'}}{% endif %}" />
816
+ <clean_up_tokenization_spaces />
817
+ <detokenizer_input_type value="i64" />
818
+ <eos_token_id value="1" />
819
+ <handle_special_tokens_with_re />
820
+ <number_of_inputs value="1" />
821
+ <openvino_tokenizers_version value="2024.5.0.0.dev20241030" />
822
+ <openvino_version value="2024.5.0.dev20241030" />
823
+ <original_tokenizer_class value="&lt;class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" />
824
+ <pad_token_id value="0" />
825
+ <sentencepiece_version value="0.2.0" />
826
+ <skip_special_tokens value="True" />
827
+ <streaming_detokenizer value="False" />
828
+ <tiktoken_version value="0.8.0" />
829
+ <tokenizer_output_type value="i64" />
830
+ <tokenizers_version value="0.20.1" />
831
+ <transformers_version value="4.45.2" />
832
+ <use_max_padding value="False" />
833
+ <use_sentencepiece_backend value="False" />
834
+ <utf8_replace_mode />
835
+ <with_detokenizer value="True" />
836
+ </rt_info>
837
+ </net>