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The ./train/train.py file in step 3 is not provided. Could you please provide the code for training?
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[Paper](https://arxiv.org/abs/2103.11886)
[Code] Not available now ~
**Authors:**
Daquan Zhou, Bingyi Kang, etc.
![image](https://user-images.githubusercontent.com/18173306/113093351-4f2…
XFeiF updated
3 years ago
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### Overview
We would like to establish a partnership with the Mid-City Neighborhood Council and have them embed Food Oasis onto their website. This is a goal identified for Impact Sprints 2022.
E…
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Thanks for providing such a great work! Considering the large size of the CALVIN dataset, I conducted evaluations only on the debug dataset. Is this result reliable?
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## Pre-review
- [x] Convincing data science problems
- [x] Unstructured & large data
- [x] Description of data
- [ ] Difficulty of data
- [ ] Evaluation
- [ ] Data preparation
- [x] Feasibility…
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## Summary
Thanks for making the code available. I really like the idea of first learning the embeddings in a self-supervised manner and then using a simpler model for forecasting. However, I am stru…
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Following the `README.md`, I tested the `subject_driven_generation`:
```bash
sh train_sdxl_lora_cat.sh
python3 infer.py
```
and got low-quality images from mixer model, while the vanilla lora rem…
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### Metadata
Authors: Stanislau Semeniuta, Aliaksei Severyn, Sylvain Gelly
Organization: Google AI
Conference: NIPS 2018
Paper: https://arxiv.org/pdf/1806.04936.pdf
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Hi, is this program OS-independent? Or does it need a specific codec?
I just tried to run this program on windows, with a __binary embedding__ file released by Google. In the beginning, the program…
immrz updated
6 years ago
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I tried to fine-tune the BERT model as an embedding model, which maps sentences to a space where the `cosine` similarity between two sentence embedding vectors can be interpreted as the sentence simil…