Select Language

AI社区

公开数据集

科学预训练模型

科学预训练模型

586.45M
241 浏览
0 喜欢
0 次下载
0 条讨论
Earth and Nature,Health,NLP,Text Data,Healthcare,spaCy Classification

数据结构 ? 586.45M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context Models related to using spaCy for scientific documents. Content Model Description en_core_sci_sm A full spaCy pipeline for biomedical data. en_core_sci_md A full spaCy pipeline for biomedical data with a larger vocabulary and word vectors. en_ner_craft_md A spaCy NER model trained on the CRAFT corpus. en_ner_jnlpba_md A spaCy NER model trained on the JNLPBA corpus. en_ner_bc5cdr_md A spaCy NER model trained on the BC5CDR corpus. en_ner_bionlp13cg_md A spaCy NER model trained on the BIONLP13CG corpus. Acknowledgements https://github.com/allenai/scispacy https://github.com/allenai/scispacy/blob/master/LICENSE License: Apache License 2.0 ScispaCy is an open-source project developed by the Allen Institute for Artificial Intelligence (AI2). AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering. Banner Photo by [rawpixel on Unsplash][1] [1]: https://unsplash.com/photos/9K_tJ7dxYSU?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:0 去赚积分?
    • 241浏览
    • 0下载
    • 0点赞
    • 收藏
    • 分享