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<?xml version="1.0"?> |
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<net name="tokenizer" version="11"> |
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<layers> |
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<layer id="0" name="string_input" type="Parameter" version="opset1"> |
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<data shape="?" element_type="string" /> |
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<output> |
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<layer id="4" name="StringTensorUnpack_1357403" type="StringTensorUnpack" version="extension"> |
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</output> |
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</layer> |
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<layer id="6" name="SentencepieceTokenizer_1357405" type="SentencepieceTokenizer" version="extension"> |
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<data nbest_size="0" alpha="0" add_bos="false" add_eos="false" reverse="true" /> |
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<input> |
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<port id="0" precision="U8"> |
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<dim>1018544</dim> |
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<port id="1" precision="STRING"> |
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<output> |
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<port id="0" precision="I64"> |
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<layer id="16" name="Concat_1357458" type="Concat" version="opset1"> |
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<data axis="0" /> |
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<input> |
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<port id="0" precision="I64"> |
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<port id="2" precision="I64"> |
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</layer> |
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<layer id="17" name="Broadcast_1357459" type="Broadcast" version="opset3"> |
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<data mode="numpy" /> |
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<input> |
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<port id="0" precision="I32" /> |
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<layer id="23" name="ScatterNDUpdate_1357413" type="ScatterNDUpdate" version="opset4"> |
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<rt_info> |
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<add_attention_mask value="True" /> |
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<add_prefix_space /> |
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<add_special_tokens value="True" /> |
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<chat_template value="{% for message in messages %}{% if loop.first %}[gMASK]sop<|{{ message['role'] }}|> {{ message['content'] }}{% else %}<|{{ message['role'] }}|> {{ message['content'] }}{% endif %}{% endfor %}{% if add_generation_prompt %}<|assistant|>{% endif %}" /> |
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<clean_up_tokenization_spaces value="False" /> |
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<eos_token_id value="2" /> |
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<handle_special_tokens_with_re value="True" /> |
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<original_tokenizer_class value="<class 'transformers_modules.THUDM.chatglm3-6b.67d005d386a01d4825649743f41e90f83edd6094.tokenization_chatglm.ChatGLMTokenizer'>" /> |
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<use_sentencepiece_backend value="False" /> |
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<utf8_replace_mode /> |
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<with_detokenizer value="True" /> |
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</rt_info> |
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</net> |
|
|
