{"payload":{"header_redesign_enabled":false,"results":[{"id":"348953105","archived":false,"color":"#3572A5","followers":902,"has_funding_file":false,"hl_name":"THUDM/P-tuning","hl_trunc_description":"A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.","language":"Python","mirror":false,"owned_by_organization":true,"public":true,"repo":{"repository":{"id":348953105,"name":"P-tuning","owner_id":48590610,"owner_login":"THUDM","updated_at":"2022-10-06T12:36:12.065Z","has_issues":true}},"sponsorable":false,"topics":["natural-language-processing","few-shot-learning","pre-trained-language-models","prompt-tuning","p-tuning","parameter-efficient-learning"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":115,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253ATHUDM%252FP-tuning%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/THUDM/P-tuning/star":{"post":"WEysdqpl3_hZIc1i0-qwOi4vFKhdPlNkCWbKNU9tBX-E5qEEMNEm2m2-L1Rq07YGp2qZTr1HZF3VhmNblgQLjw"},"/THUDM/P-tuning/unstar":{"post":"fE8NWYcW2PLfxHk_bYpy7c5ejZCAsx1DnSjasNLuSTs5fCJ-c6RkLSf4IBjp7k5yoKonUpKw0VmCAKLxhSpZcQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"21IN5hhNZB1nAsg9UzJgpmiZfQ6rCLtCglL-6lsL_HoDaKxAgIsAsJunj6NZRasUmJx24V-0cxg5ERO6DRWm7Q"}}},"title":"Repository search results"}