Comments (6)
Hi @shirayu -- Thank you for your interest in our work. The code is available for public use, please use it freely.
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Thank you for the reply.
I am sorry to bother you, but it is very helpful to have an explicit license file.
When you are free, please consider this.
Thank you.
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Hi @shirayu -- It would be great if you could advise me why the license file is important. Many thanks!
from simctg.
Hi, that is because the use of well-known licenses and explicit licensing make it easier for many people to avoid legal risks and to improve and share them more easily.
This is the description about licensing by GitHub.
If you're creating an open source project, we strongly encourage you to include an open source license.
This is another description by Open Source Guides that is linked from the description by GitHub.
https://opensource.guide/legal/
I hope these descriptions help you.
Thank you!
from simctg.
Thank you for your suggestions! I think we can add the MIT license to our repo.
from simctg.
Great! Thank you so much!
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Related Issues (20)
- 请问contrastive loss对生成的影响程度如何,应如何定义contrastive loss和生成的cross-entropy loss的权重大小? HOT 2
- Dialogue generation training with simctg library HOT 1
- fast_contrastive_search只支持batch_size=1吗 HOT 1
- about contrastive search HOT 1
- Typo in story_generation part HOT 1
- Bloom Ai HOT 3
- about the repetition of the ground-turth HOT 3
- SimCTGT5和fast_contrastive_search相关问题(EncDecContrastiveDecodingOneStepFast) HOT 2
- Contrastive Training loss的部分疑惑 HOT 1
- Questions about Document Generation HOT 1
- Questions about evaluation metrics coherence and gen-ppl?
- About metric reproduction
- What's the difference between SimCTG and CnNT?
- Can you provide BartModel for SimCTG code?
- SimCTG BART training
- pip install error HOT 2
- Question about replicating the MAUVE scores HOT 3
- similar sentence generation HOT 2
- 关于fast_contrastive_search实现中新生成的token的embedding的理解(hv) HOT 6
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