DeBERTa:注意力分散的增强解码的BERT-Python开发

上传者: 42127020 | 上传时间: 2023-04-10 16:59:07 | 文件大小: 114KB | 文件类型: ZIP
DeBERTa:具有分散注意力的增强解码的BERT DeBERTa:具有分散注意力的增强解码的BERT这是DeBERTa实施的存储库。我们的代码仍处于发布业务流程中,它将在本周末准备就绪。 贡献该项目欢迎您的贡献和建议。 大多数捐款要求您同意一份《捐款者许可协议》(CLA),声明您有权并实际上授予我们使用您的捐款的权利。 有关详细信息,请访问https:// cla。

文件下载

资源详情

[{"title":"( 92 个子文件 114KB ) DeBERTa:注意力分散的增强解码的BERT-Python开发","children":[{"title":"DeBERTa-master","children":[{"title":"DeBERTa","children":[{"title":"data","children":[{"title":"example.py <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"dataloader.py <span style='color:#111;'> 19.49KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 143B </span>","children":null,"spread":false},{"title":"dynamic_dataset.py <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"sift","children":[{"title":"__init__.py <span style='color:#111;'> 20B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"sift.py <span style='color:#111;'> 7.35KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"apps","children":[{"title":"models","children":[{"title":"masked_language_model.py <span style='color:#111;'> 4.70KB </span>","children":null,"spread":false},{"title":"multi_choice.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 148B </span>","children":null,"spread":false},{"title":"record_qa.py <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"sequence_classification.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"ner.py <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false}],"spread":true},{"title":"tasks","children":[{"title":"task.py <span style='color:#111;'> 3.88KB </span>","children":null,"spread":false},{"title":"superglue_tasks.py <span style='color:#111;'> 45.82KB </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"race_task.py <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false},{"title":"mlm_task.py <span style='color:#111;'> 8.04KB </span>","children":null,"spread":false},{"title":"record_eval.py <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 75B </span>","children":null,"spread":false},{"title":"task_registry.py <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"glue_tasks.py <span style='color:#111;'> 28.04KB </span>","children":null,"spread":false},{"title":"ner_task.py <span style='color:#111;'> 8.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"run.py <span style='color:#111;'> 17.00KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 128B </span>","children":null,"spread":false}],"spread":true},{"title":"utils","children":[{"title":"logger_util.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"xtqdm.py <span style='color:#111;'> 630B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 122B </span>","children":null,"spread":false},{"title":"jit_tracing.py <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"argument_types.py <span style='color:#111;'> 145B </span>","children":null,"spread":false}],"spread":true},{"title":"deberta","children":[{"title":"cache_utils.py <span style='color:#111;'> 4.90KB </span>","children":null,"spread":false},{"title":"pretrained_models.py <span style='color:#111;'> 2B </span>","children":null,"spread":false},{"title":"tokenizers.py <span style='color:#111;'> 241B </span>","children":null,"spread":false},{"title":"da_utils.py <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"mlm.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"nnmodule.py <span style='color:#111;'> 4.58KB </span>","children":null,"spread":false},{"title":"pooling.py <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false},{"title":"deberta.py <span style='color:#111;'> 5.31KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 455B </span>","children":null,"spread":false},{"title":"bert.py <span style='color:#111;'> 12.01KB </span>","children":null,"spread":false},{"title":"disentangled_attention.py <span style='color:#111;'> 11.19KB </span>","children":null,"spread":false},{"title":"ops.py <span style='color:#111;'> 6.46KB </span>","children":null,"spread":false},{"title":"spm_tokenizer.py <span style='color:#111;'> 9.39KB </span>","children":null,"spread":false},{"title":"gpt2_bpe_utils.py <span style='color:#111;'> 5.49KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 4.14KB </span>","children":null,"spread":false},{"title":"gpt2_tokenizer.py <span style='color:#111;'> 6.17KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"docs","children":[{"title":"make.bat <span style='color:#111;'> 799B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 23B </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 638B </span>","children":null,"spread":false},{"title":"source","children":[{"title":"conf.py <span style='color:#111;'> 5.52KB </span>","children":null,"spread":false},{"title":"index.rst <span style='color:#111;'> 455B </span>","children":null,"spread":false},{"title":"modules","children":[{"title":"deberta.rst <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"SECURITY.md <span style='color:#111;'> 2.71KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"setup.cfg <span style='color:#111;'> 40B </span>","children":null,"spread":false},{"title":"experiments","children":[{"title":"language_model","children":[{"title":"xlarge.json <span style='color:#111;'> 604B </span>","children":null,"spread":false},{"title":"mlm.sh <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"prepare_data.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"xxlarge.json <span style='color:#111;'> 604B </span>","children":null,"spread":false}],"spread":true},{"title":"superglue","children":[{"title":"record.sh <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"copa.sh <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 223B </span>","children":null,"spread":false},{"title":"config.json <span style='color:#111;'> 60B </span>","children":null,"spread":false},{"title":"download_data.sh <span style='color:#111;'> 262B </span>","children":null,"spread":false}],"spread":true},{"title":"glue","children":[{"title":"mnli.sh <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"stsb.sh <span style='color:#111;'> 1.99KB </span>","children":null,"spread":false},{"title":"sst2.sh <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"patch.diff <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"rte.sh <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"mrpc.sh <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 514B </span>","children":null,"spread":false},{"title":"qnli.sh <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"cola.sh <span style='color:#111;'> 1.99KB </span>","children":null,"spread":false},{"title":"qqp.sh <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"config.json <span style='color:#111;'> 60B </span>","children":null,"spread":false},{"title":"download_data.sh <span style='color:#111;'> 426B </span>","children":null,"spread":false}],"spread":false},{"title":"my_exp","children":[{"title":"race_task.py <span style='color:#111;'> 6.37KB </span>","children":null,"spread":false},{"title":"run.sh <span style='color:#111;'> 1.97KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 155B </span>","children":null,"spread":false}],"spread":true},{"title":"ner","children":[{"title":"ner.sh <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"config.json <span style='color:#111;'> 60B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"VERSION <span style='color:#111;'> 7B </span>","children":null,"spread":false},{"title":"docker","children":[{"title":"Dockerfile <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"build.sh <span style='color:#111;'> 195B </span>","children":null,"spread":false}],"spread":true},{"title":"requirements.txt <span style='color:#111;'> 120B </span>","children":null,"spread":false},{"title":"setup.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"CODE_OF_CONDUCT.md <span style='color:#111;'> 444B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 14.25KB </span>","children":null,"spread":false},{"title":"run_docker.sh <span style='color:#111;'> 595B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明