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Thanks for your inspiring and effective work. You achieved really great performance on imagenet-1k classification. As the paper mentioned, you treat classification as retrieval and do intermediate ret…
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### System Info
Python 3.9.16
Transformers 4.13.0
WSL
### Who can help?
@ArthurZucker @younesbelkada @shamanez
### Information
- [X] The official example scripts
- [ ] My own modified scripts
…
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I am trying to load just the model for training to incorporate it into my custom training loop.
I tried this:
```
from mmengine.config import Config
from mmseg.registry import MODELS
from mmseg.u…
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Hi, I'm getting really nice results with the large models, but performance is terrible (
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For phase 1:
- Pre-trained on ImageNet and quotes achieved performance.
- Variety of architectures and sizes.
- At least 5 models
- Make a table of `model_name, model_size, imagenet-1k-top1-accu…
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```
Traceback (most recent call last):
File "train.py", line 11, in <module>
import mmseg_custom # noqa: F401,F403
File "/home/yansen/hanyansen/ViT-Adapter/segmentation/mmseg_custo…
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Hi,
I experience multiple errors using the script.
- For the model `dpt_beit_large_512`
```
Initialize
Device: cpu
/home/user/.local/lib/python3.11/site-packages/torch/functional.py:504: Use…
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I have a document with a bit more than 300 lines of definitions that takes an excessive amount of time to parse. Testing it on the playground raises the same issue. It seems to be a bug in which the p…
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Dashboard to track the performance of different backends.
cc @mlazos @soumith @voznesenskym @yanboliang @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wen…
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cc @soumith @msaroufim @wconstab @ngimel @bdhirsh