Module 04 · Transformer Network
Transformer Network Application: Named-Entity RecognitionTransformer 网络应用：命名实体识别
Transformer Network Application: Named-Entity Recognition Transformer 网络应用：命名实体识别
Instructions 说明
IMPORTANT 重要
Hey learner, 嗨，学习者
In this ungraded lab, on the top right you'll see a button, "Save and close". Please press it every time when you are no longer running or closing the lab. This helps to release the GPU resources used by your version of the lab, so that other learners can benefit from it as much as you did.
在这个未评分的实验中，右上角你会看到一个按钮，“保存并关闭”。每次当你不再运行或关闭实验时，请按下它。这有助于释放实验版本使用的 GPU 资源，以便其他学习者也能像你一样从中受益。
Thank you and happy learning!
感谢并祝学习愉快！
In this ungraded lab, you will optimize a Transformer model to perform Named-Entity Recognition (NER) on a dataset of resumes. You will use tokenizers and pre-trained models from the HuggingFace Library.
在这个未评分的实验中，您将优化一个 Transformer 模型，以在简历数据集上执行命名实体识别（NER）。您将使用来自 HuggingFace 库的标记器和预训练模型。
📎 Transformer_application_Named_Entity_Recognition-d2200596-a4b7-4327-a130-2be1c03114e3.ipynb