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# Ways to participate in the Solid Community
The Solid Community is a vibrant, diverse group of people who believe in the vision of an inclusive web that serves the needs of everyone. Join us!
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Hi, I want to ask that whether the code of classification parts is completed yet. Seems like the code now is only for testing, but I want to implement full training (30 epochs in your paper) to reprod…
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Hi
I trained avit_tiny with the provided hyperparameters, and the validation accuracy on Imagenet is only 68.2% instead of the reported 71.4%.
Could you please let me know what hyperparameters t…
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### Feature request
As pointed out in https://github.com/huggingface/transformers/pull/27742, some image processors might need a correction on the default interpolation method being used (resamplin…
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Excuse me, do you have any plan to release codes or instructions for pretraining?
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Hello guys.
Have you successfully reproduced the performance of LeViT?
I've attempted to train the LeViT, which seems to be among the top-performing ViT models. But I failed to reproduced the result…
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_torch.stack(template_imgs).float().div(255)_ on line 103 in /MixSort/yolox/mixsort_oc_tracker/mixformer.py
```
template_imgs = normalize(
torch.stack(template_imgs).float().div(255),
self.cfg.DAT…
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Hi @imisra, @rohitgirdhar and rest of 3DETR team
3DETR is quite interesting and it wold be great to make it more visible to the rest of the Machine Learning Ecosystem!
Would you be interested i…
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Hi,
I have following 3 questions and would be really grateful if anyone could provide some insights:
1. While pertaining the model on the text lines extracted from the PDFs and synthetic data, do …
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Hi!
Let's bring the documentation to all the Japanese-speaking community 🌐
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/…