2, the GPTSniffer architecture consists of three main components, i.e., Extractor, Tokenizer, and Classifier. To train the classification engine, input data is collected from two data sources, i.e., GitHub and ChatGPT: while the former is a huge store of human-written code, the latter ...
master CodeBERT code2nl codesearch README.md mrr.py process_data.py run_classifier.py utils.py CodeExecutor CodeReviewer GraphCodeBERT LongCoder UniXcoder .gitignore CODE_OF_CONDUCT.md CONTRIBUTING.md LICENSE NOTICE.md README.md SECURITY.mdBreadcrumbs CodeBERT /CodeBERT /codesearch/...
lang=php #programming language idx=0 #test batch idx python run_classifier.py \ --model_type roberta \ --model_name_or_path microsoft/codebert-base \ --task_name codesearch \ --do_predict \ --output_dir ../data/codesearch/test/$lang \ --data_dir ../data/codesearch/test/$lang \...
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