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In the [SBERT repository](https://www.sbert.net/examples/training/adaptive_layer/README.html), I found the adaptive layers method referenced in this paper: [_**ESE**: Espresso Sentence Embeddings_](ht…
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### Discussion
I know the paper is being reviewed and will likely be modified. However, I think some sort of pseudocode would be nice. Few chunks of paragraphs make things a bit hard to follow. The p…
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#### What would you like to be added:
We should support reading and writing SBOMs in in-toto attestations. `bom` should be able to read SBOMs wrapped in [in-toto attestations](https://github.com/i…
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jina-embeddings-v3 is a multilingual multi-task text embedding model designed for a variety of NLP applications. Based on the [Jina-XLM-RoBERTa architecture](https://huggingface.co/jinaai/xlm-roberta-…
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Hi 👋
I am wondering if it makes sense to write a wrapper for losses like `MatryoshkaLoss` in order to incorporate quantization into the model training, i.e. a `BinaryQunatizationLoss` that takes a…
h4gen updated
2 months ago
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This issue tracks various action items we would like to complete with regard to the features function calling and embeddings.
### Function calling (beta)
We are calling it beta because multiple …
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- APT23\APT23_hash.md
c50f9575695b5363c22989ba14ba7823
- APT29\APT29_hash.md
f81f858335b253d4708fbdfa6ca92ee9
- APT40\APT40_hash.md
aca7037286b64b0da05c9708d647c013
- Cobalt Group\Cobal…
pyNpy updated
4 years ago
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❗아이템 효과
✅상자를 오픈할 때 마다, 스텟(이동 속도, 연사, 데미지, 행운) 1가지가 증가됩니다
└스텟은 추후 직접 입력하겠습니다. 대충 0.5 정도로 통일해서 코딩해놔주세요
✅갈색 상자 오픈 시 50% 확률로 미니 상자가 소환됩니다
❗중복 효과
✅아이템 개수 당 증가하는 스텟량 +1 개 취급
✅확률은 변동되지 않음
❗추후 직접 조…
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Makes no sense to have them spread out like this :(
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Hi,
Is there any possibility to publish matryoshka-core artifact for scala 2.13?
Can I help with that?
CC: @djspiewak
Best regards,
Karol