Upload openvino_detokenizer.xml with huggingface_hub
Browse files- openvino_detokenizer.xml +184 -0
openvino_detokenizer.xml
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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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<layer id="0" name="Parameter_459947" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_459947">
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<dim>-1</dim>
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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="1" name="Convert_459958" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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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="I32">
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<dim>-1</dim>
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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="2" name="Constant_459922" type="Const" version="opset1">
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<data element_type="u8" shape="528983" offset="0" size="528983" />
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<output>
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<port id="0" precision="U8">
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<dim>528983</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="StringTensorUnpack_459923" type="StringTensorUnpack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="U8">
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<dim>528983</dim>
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</port>
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</input>
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<output>
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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="U8">
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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="4" name="VocabDecoder_459948" type="VocabDecoder" version="extension">
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<data skip_tokens="0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16" />
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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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<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="U8">
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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="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="8" precision="U8">
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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="5" name="FuzeRagged_459949" type="FuzeRagged" 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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</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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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="I32">
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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="6" name="StringTensorPack_459950" 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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</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="U8">
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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="3" precision="STRING" names="string_output">
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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="7" name="Result_459951" 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="3" from-port="2" to-layer="4" to-port="2" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
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<edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
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<edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
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<edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
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<edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
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<edge from-layer="4" from-port="8" to-layer="6" to-port="2" />
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<edge from-layer="5" from-port="4" to-layer="6" to-port="0" />
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<edge from-layer="5" from-port="5" to-layer="6" to-port="1" />
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<edge from-layer="6" from-port="3" to-layer="7" to-port="0" />
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</edges>
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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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<bos_token_id value="1" />
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<chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|> ' }}{% endif %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
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<clean_up_tokenization_spaces />
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<detokenizer_input_type value="i64" />
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<eos_token_id value="2" />
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<handle_special_tokens_with_re />
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<number_of_inputs value="1" />
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<openvino_tokenizers_version value="2024.5.0.0.dev20241030" />
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<openvino_version value="2024.5.0.dev20241030" />
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<original_tokenizer_class value="<class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>" />
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<pad_token_id value="2" />
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<sentencepiece_version value="0.2.0" />
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<skip_special_tokens value="True" />
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<streaming_detokenizer value="False" />
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<tiktoken_version value="0.8.0" />
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<tokenizer_output_type value="i64" />
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<tokenizers_version value="0.20.1" />
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<transformers_version value="4.45.2" />
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<use_max_padding value="False" />
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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>
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