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How to train a custom seq2seq model with `BertModel`,
I would like to use some Chinese pretrained model base on `BertModel`
so I've tried using `Encoder-Decoder Model`, but it seems the`Encoder-…
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Hi Author,
In your code:
`
prob = out_logits.sigmoid()
topk_values, topk_indexes = torch.topk(prob.view(out_logits.shape[0], -1), 100, dim=1)
scores = topk_values
…
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Hi,
Official code of our paper "Conditional DETR for Fast Training Convergence" (https://arxiv.org/abs/2108.06152) has been released, please see https://github.com/Atten4Vis/ConditionalDETR
Hope…
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Hi, I am interested in the speed of the model Conditional DETR-DC5-R50.
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Hi, thank you excellent work about Transformer in Object Detection,I'm extremely interested in your work。But I have some questions when reading the paper and code. I hope you can give me some answers。…
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Hi, thanks for your excellent work! Although the idea is similar to reference points in Deformable-DETR and SMCA, your extension is quite powerful and may trigger more attempts to optimize this object…
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## Environment info
- `transformers` version: 4.12.4
- Platform: Linux
- Python version: 3.7.10
- PyTorch version (GPU?):
- Tensorflow version (GPU?): 2.7.0
- Using GPU in script?: No
- Usi…
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I am training a very simple try (just 1 picture) coco model just to try the system and using the command
python train_coco.py --datadir /root/detr-tensorflow/coco --batch_size 8 --target_batch 32
…