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Hello! ROMP is really a great work, and your document makes everything so easy to use.
But when I followed the step in google colab to install ROMP in my local machine, and run
`python -m romp.pr…
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Hey, I want to use a pretrained model to play around with knowledge distillation from GNN to MLP. So I wrote the code for this. I use the `BA_shapes` dataset with 700 nodes and I import the pretrained…
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训练轮数越多实际效果越差,第1、2轮效果好,以后越来越差
第二次的预测结果:
[2022/02/21 11:47:09] root DEBUG: 0 Predict time of d:/888.jpg: 3.547s
[2022/02/21 11:47:09] root DEBUG: 湖南远哥食品有限公司, 0.974
[2022/02/21 11:47:09] root DEBUG:…
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## Environment info
- `transformers` version: 4.4.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.8.0+cu101 (False)
- Tensor…
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# PaddleOCR社区常规赛
PaddleOCR社区常规赛是面向所有开发者举办的积分赛事,提供多层次多维度的开放式赛题,并为优秀的社区项目给予物质与精神的多重奖励。
基于PaddleOCR进行二次开发的 **_绝大多数项目或贡献都可通过社区常规赛获得积分与奖励_** 。我们鼓励开发者实现自己的想法,也希望正在学习中的开发者在常规赛题中找到实现的方向。
最终社区项目将会收录在Paddl…
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Hi, have a question:
> learn a small number of synthetic images such that a model trained on this set alone will have similar test performance as a model trained on the full real dataset.
If I u…
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Hi guys
first of all, i rly appreciate for you to share this codes
however, when im trying to train NAT model (NACRF) using this [script](https://github.com/pytorch/fairseq/blob/b0fb74f143ec17e0…
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Distilling RoBERTa using the approach described in the TinyBERT paper. The results of #2019 suggest that it makes more sense to proceed with a base model of RoBERTa. The Pile dataset can be used for t…
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运行python tools/train.py -c configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml时报错
Traceback (most recent call last):
File "tools/train.py", line 131, in
main(config, device, logger, vdl…
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Hey,
I was using your repo to do KD on Yolov4, I had a question: do teacher and student share same original cfg file for Yolov4? Or is the teacher model structurally pruned first? This is a low lev…