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<?xml version="1.0"?> |
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<net name="detokenizer" version="11"> |
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<layers> |
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<output> |
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<layer id="3" name="StringTensorUnpack_281987" type="StringTensorUnpack" version="extension"> |
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<input> |
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</layer> |
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<layer id="4" name="VocabDecoder_282017" type="VocabDecoder" version="extension"> |
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<data skip_tokens="0, 1, 32000, 32001, 32002, 32003, 32004, 32005, 32006, 32007, 32008, 32009, 32010" /> |
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<input> |
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<output> |
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<port id="0" precision="U8"> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>1</dim> |
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<layer id="7" name="RegexNormalization_282022" type="RegexNormalization" version="extension"> |
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<data global_replace="true" /> |
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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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</layer> |
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<layer id="8" name="ByteFallback_282023" type="ByteFallback" version="extension"> |
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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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</layer> |
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<layer id="9" name="FuzeRagged_282024" type="FuzeRagged" version="extension"> |
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<input> |
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<port id="0" precision="I32"> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>2</dim> |
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<layer id="11" name="Constant_282028" type="Const" version="opset1"> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>0</dim> |
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</layer> |
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<layer id="12" name="RegexNormalization_282029" type="RegexNormalization" version="extension"> |
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<data global_replace="true" /> |
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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 id="3" precision="U8"> |
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<dim>0</dim> |
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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="7" precision="U8"> |
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<dim>-1</dim> |
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</output> |
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</layer> |
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<layer id="13" name="StringTensorPack_282030" type="StringTensorPack" version="extension"> |
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<data mode="begins_ends" /> |
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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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<output> |
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<port id="3" precision="STRING" names="string_output"> |
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<dim>-1</dim> |
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</port> |
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</layer> |
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<layer id="14" name="Result_282031" type="Result" version="opset1"> |
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<input> |
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<port id="0" precision="STRING"> |
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<dim>-1</dim> |
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</port> |
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</input> |
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</layer> |
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</layers> |
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<edges> |
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<edge from-layer="0" from-port="0" to-layer="1" to-port="0" /> |
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<edge from-layer="1" from-port="1" to-layer="4" to-port="0" /> |
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" /> |
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<edge from-layer="3" from-port="1" to-layer="4" to-port="1" /> |
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<edge from-layer="8" from-port="4" to-layer="9" to-port="3" /> |
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<edge from-layer="8" from-port="5" to-layer="12" to-port="2" /> |
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<edge from-layer="9" from-port="5" to-layer="12" to-port="1" /> |
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<edge from-layer="10" from-port="0" to-layer="12" to-port="3" /> |
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<edge from-layer="12" from-port="5" to-layer="13" to-port="0" /> |
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<edge from-layer="12" from-port="6" to-layer="13" to-port="1" /> |
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<edge from-layer="12" from-port="7" to-layer="13" to-port="2" /> |
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<edge from-layer="13" from-port="3" to-layer="14" to-port="0" /> |
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</edges> |
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<rt_info> |
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<bos_token_id value="1" /> |
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<chat_template value="{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|> ' + message['content'] + '<|end|> '}}{% elif message['role'] == 'user' %}{{'<|user|> ' + message['content'] + '<|end|> '}}{% elif message['role'] == 'assistant' %}{{'<|assistant|> ' + message['content'] + '<|end|> '}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|> ' }}{% else %}{{ eos_token }}{% endif %}" /> |
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<eos_token_id value="32000" /> |
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<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" /> |
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<pad_token_id value="32000" /> |
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</rt_info> |
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</net> |
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