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<?xml version="1.0"?> |
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<net name="detokenizer" version="11"> |
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<port id="0" precision="U8"> |
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<layer id="3" name="StringTensorUnpack_236535" type="StringTensorUnpack" version="extension"> |
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</layer> |
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<layer id="4" name="VocabDecoder_236560" 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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<layer id="6" name="StringTensorPack_236562" type="StringTensorPack" version="extension"> |
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<data mode="begins_ends" /> |
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<output> |
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<port id="3" precision="STRING" names="string_output"> |
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<layer id="7" name="Result_236563" type="Result" version="opset1"> |
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<input> |
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<port id="0" precision="STRING"> |
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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="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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