MindSpore Transformers套件的目标是构建一个大模型训练、推理、部署的全流程套件： 提供业内主流的Transformer类预训练模型， 涵盖丰富的并行特性。 期望帮助用户轻松的实现大模型训练。 文档：https://mindformers.readthedocs.io/zh-cn/latest/
针对训练&大模型场景，提供端到端命令行&可视化调试调优工具，帮助用户快速提高模型开发效率
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
A high-throughput and memory-efficient inference and serving engine for LLMs
PAKDD23: <Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction>
information extraction baselines (named entity recognition, relation extraction , joint entity and relation extraction
