请问有什么可以迁移训练的方法吗？
Open
- Dominant language
- Python
- Stars
- 36.9k
- Forks
- 5.2k
- PR merge metrics
- No merged PRs in 30d
Description
**Summary[问题简述（一句话）]**
本地机器空间较小，无法下载大数据集进行训练。
但想根据一些较少的数据训练模型，因为数据不够，效果不佳(会吞字)。
所以能否进行迁移训练，从readme中获取的模型文件中提取权重然后使用自己的数据训练，以提升模型的能力。
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the README and the model files it documents, then identify whether the repository exposes a training entry point for user-provided data. The issue names no source file, test, or concrete implementation target; done would require a decided transfer-training workflow and a clear validation criterion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100