论文阅读：Boundary-aware Transformers for Skin Lesion Segmentation

transformers

huggingface/transformers: 是一个基于 Python 的自然语言处理库，它使用了 PostgreSQL 数据库存储数据。适合用于自然语言处理任务的开发和实现，特别是对于需要使用 Python 和 PostgreSQL 数据库的场景。特点是自然语言处理库、Python、PostgreSQL 数据库。

项目地址：https://gitcode.com/gh_mirrors/tra/transformers

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甜橙不加冰

712人浏览 · 2022-10-12 16:52:20

甜橙不加冰 · 2022-10-12 16:52:20 发布

GitHub 加速计划 / tra / transformers

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0725cd69 * remove deprecated classes * style 8 小时前

797860c6 * feat: add flexible Liger Kernel configuration to TrainingArguments Add support for granular Liger Kernel configuration through a new `liger_kernel_config` parameter in TrainingArguments. This allows users to selectively enable/disable specific kernels (rope, swiglu, cross_entropy, etc.) instead of the current approach that rely on default configuration. Features: - Add `liger_kernel_config` dict parameter to TrainingArguments - Support selective kernel application for all supported models - Maintain full backward compatibility with existing `use_liger_kernel` flag Example usage: ```python TrainingArguments( use_liger_kernel=True, liger_kernel_config={ "rope": True, "swiglu": True, "cross_entropy": False, "fused_linear_cross_entropy": True } ) Closes #38905 * Address comments and update Liger section in Trainer docs 9 小时前