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implement BertTensorizer and RoBERTaTensorizer in TorchScript #1053
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…okresearch#1053) Summary: Pull Request resolved: facebookresearch#1053 implement BertTensoriimplement BertTensorizer and RoBERTaTensorizer in TorchScript. ScriptTensorizer have two APIs 1. numberize: process a single line of input (single string for classification and a pair of string for pair classification), the output will be a list of token ids (e.g token index in the vocab) 2. tensorize: process multiple of line of input, calling numberize and batch all the result together, generate the output tensor as the model input Reviewed By: hudeven Differential Revision: D17941983 fbshipit-source-id: dbf2619bcbd25e3747d1f07fdd7b83d1d18f6ded
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This pull request was exported from Phabricator. Differential Revision: D17941983 |
…okresearch#1053) Summary: Pull Request resolved: facebookresearch#1053 implement BertTensoriimplement BertTensorizer and RoBERTaTensorizer in TorchScript. ScriptTensorizer have two APIs 1. numberize: process a single line of input (single string for classification and a pair of string for pair classification), the output will be a list of token ids (e.g token index in the vocab) 2. tensorize: process multiple of line of input, calling numberize and batch all the result together, generate the output tensor as the model input Reviewed By: hudeven Differential Revision: D17941983 fbshipit-source-id: 9ade19e4af0bf78a3efc3dee8a6d382406216feb
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Summary:
implement BertTensoriimplement BertTensorizer and RoBERTaTensorizer in TorchScript.
ScriptTensorizer have two APIs
a list of token ids (e.g token index in the vocab)
Differential Revision: D17941983