BERT-whitening-pytorch:Pytorch版本的BERT白化-源码

[{"title":"（ 35 个子文件 24.01MB ） BERT-whitening-pytorch:Pytorch版本的BERT白化-源码","children":[{"title":"BERT-whitening-pytorch-main","children":[{"title":"run_example.py <span style='color:#111;'> 5.68KB </span>","children":null,"spread":false},{"title":"model","children":[{"title":"download_models.sh <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false}],"spread":true},{"title":"run.sh <span style='color:#111;'> 361B </span>","children":null,"spread":false},{"title":"all_utils.py <span style='color:#111;'> 2.90KB </span>","children":null,"spread":false},{"title":"eval_with_whitening(nli).py <span style='color:#111;'> 4.67KB </span>","children":null,"spread":false},{"title":"whiten","children":[{"title":"bert-large-uncased-first_last_avg-whiten(NLI).pkl <span style='color:#111;'> 8.00MB </span>","children":null,"spread":false},{"title":"bert-base-nli-mean-tokens-first_last_avg-whiten(NLI).pkl <span style='color:#111;'> 4.50MB </span>","children":null,"spread":false},{"title":"bert-large-nli-mean-tokens-first_last_avg-whiten(NLI).pkl <span style='color:#111;'> 8.00MB </span>","children":null,"spread":false},{"title":"bert-base-uncased-first_last_avg-whiten(NLI).pkl <span style='color:#111;'> 4.50MB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.14KB </span>","children":null,"spread":false},{"title":"eval_with_whitening(target).py <span style='color:#111;'> 3.61KB </span>","children":null,"spread":false},{"title":"senteval","children":[{"title":"mrpc.py <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"engine.py <span style='color:#111;'> 6.22KB </span>","children":null,"spread":false},{"title":"sick.py <span style='color:#111;'> 11.78KB </span>","children":null,"spread":false},{"title":"trec.py <span style='color:#111;'> 3.48KB </span>","children":null,"spread":false},{"title":"sst.py <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 264B </span>","children":null,"spread":false},{"title":"rank.py <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"tools","children":[{"title":"ranking.py <span style='color:#111;'> 14.92KB </span>","children":null,"spread":false},{"title":"classifier.py <span style='color:#111;'> 7.56KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"relatedness.py <span style='color:#111;'> 4.43KB </span>","children":null,"spread":false},{"title":"validation.py <span style='color:#111;'> 10.12KB </span>","children":null,"spread":false}],"spread":false},{"title":"binary.py <span style='color:#111;'> 3.63KB </span>","children":null,"spread":false},{"title":"probing.py <span style='color:#111;'> 6.63KB </span>","children":null,"spread":false},{"title":"snli.py <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false},{"title":"sts.py <span style='color:#111;'> 7.63KB </span>","children":null,"spread":false}],"spread":false},{"title":"data","children":[{"title":"downstream","children":[{"title":"get_transfer_data.bash <span style='color:#111;'> 8.16KB </span>","children":null,"spread":false},{"title":"tokenizer.sed <span style='color:#111;'> 2.14KB </span>","children":null,"spread":false}],"spread":true},{"title":"download_datasets.sh <span style='color:#111;'> 181B </span>","children":null,"spread":false}],"spread":true},{"title":"train_whiten(nli).py <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"eval_without_whitening.py <span style='color:#111;'> 3.30KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]