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Hi there,
Since a few months, the RT-DETR is officially supported by the Hugging Face Transformers library 🤗
It enables easy inference as well as fine-tuning.
# Resources
* RT-DETR docs: …
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Implement the DETR (DEtection TRansformer) architecture.
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### Search before asking
- [X] I have searched the Inference [issues](https://github.com/roboflow/inference/issues) and found no similar feature requests.
### Description
We can discuss about the …
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Why does the error appear?Have anyone encountered this problem
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My thoughts about the new base class design.
Overall, I am quite impressed. This seems to be a working prototype that proves that transformations can be used as the base class.
I also see there is…
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**Description**
If I loaded 2 model transformer and inference model, memory GPU used about 3Gi.
```
PID USER DEV TYPE GPU GPU MEM CPU HOST MEM Command
2207044 coreai 0 C…
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Hi,
I find this github project very interesting, and I'm searching for a better model of instance detection than yolov8-seg. I wanna ask which 'yaml' file is the combination of yolo and swin transf…
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It is useful in object detection context to allow arbitrary sizes by doing dynamic mask computation (probably possible only with relative position encoding).
These kinds of edits were done in https…
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Currently it is not possible to run this code as there are several bugs.
1. train.py does not work in sst1 for both adapters and transformers as datafiles are loaded which do not exist and are not…
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I am trying to replace the _detectron_ or _table-transformer_ models for **layout detection** with _LayoutLMv3_, but based on what I understand, LayoutLMv3 is only implemented for Sequence and Token C…