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"metadata" : {
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"colab" : {
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"provenance" : [],
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- "authorship_tag" : " ABX9TyOtPzH5Tep8aYNvVg1MzW0e" ,
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"include_colab_link" : true
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},
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"kernelspec" : {
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{
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"cell_type" : " code" ,
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"source" : [
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- " !python -m bulk_chain.infer --model \" dynamic:flan_t5.py:FlanT5\" --schema \" default.json\" --device \" cpu\" --temp 0.1 --max-length 512"
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+ " !python -m bulk_chain.infer \\\n " ,
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+ " --schema \" default.json\" \\\n " ,
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+ " --adapter \" dynamic:flan_t5.py:FlanT5\" \\\n " ,
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+ " %% \\\n " ,
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+ " --device \" cpu\" \\\n " ,
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+ " --temp 0.1"
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],
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"metadata" : {
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"id" : " YwmlDzeG0N7r"
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{
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"cell_type" : " code" ,
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"source" : [
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- " !python -m bulk_chain.infer --model \" dynamic:flan_t5.py:FlanT5\" --schema \" default.json\" --device \" cpu\" --temp 0.1 --max-length 512 \\\n " ,
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- " --src \" INPUT_CSV_FILE.CSV\" "
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+ " !python -m bulk_chain.infer \\\n " ,
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+ " --src \" INPUT_CSV_FILE.csv\" \\\n " ,
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+ " --schema \" default.json\" \\\n " ,
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+ " --adapter \" dynamic:flan_t5.py:FlanT5\" \\\n " ,
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+ " %% \\\n " ,
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+ " --device \" cpu\" \\\n " ,
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+ " --temp 0.1"
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],
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"metadata" : {
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"id" : " T5Ylxyp7-HwR"
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