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## Abstract
- Zero-shot anomaly detection(ZSAD)은 target dataset에 대한 training sample 없이 auxiliary data을 사용해서 학습된 모델을 필요로 한다.
- ZSAD는 학습 데이터가 충분치 못한 상황에서 중요하지만, 모델이 다양한 도메인에서의 anomalies에 generalize되는 …
sy00n updated
11 months ago
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Useful to prevent abuse as well as tailor learning experience, improve future prompts
- [ ] Track per-user token usage
- [x] Track usage frequency
- [x] Log requests and responses
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I have a question whether the pre-trained UniTS training dataset contains the test dataset. If so, then the training process of time series prediction and time series completion is essentially a self-…
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> **For context, see:** [CONTRIBUTING.md](https://github.com/julep-ai/julep/blob/dev/CONTRIBUTING.md) and [cookbooks/README.md](https://github.com/julep-ai/julep/tree/dev/cookbooks)
## Overview
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**Submitting author:** @hellokayas (Sayak Chakrabarty)
**Repository:** https://github.com/souradipp76/MM-PoE
**Branch with paper.md** (empty if default branch): main
**Version:** v0.1.2
**Editor:** Pe…
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### Describe the bug
when I run the script train_dreambooth_lora_flux.py. It raise ValueError: unexpected save model: . something bug in save_model_hook?
![Uploading image.png…]()
### Reproducti…
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### Describe the bug
I am using the training script documented here https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux.md to train a LORA on my dataset.
here is th…
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@sunnysavita10, I tried creating a HuggingFaceHub version of this project - but after this call my response object does not have expected "quiz and review" values -
`with get_openai_callback() as …
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* https://en.wikipedia.org/wiki/MLOps
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Hi,
Could I ask some questions about the paper?
I am quite confused about the title and the proposed method "Transformation based Adaptation for Ratio prompt learning". While reading your paper, …