-
I got the clear-cut idea of the encoder side of the segmentation_models. I am using Resnet 152 as the UNet backbone. But I am unclear about the decoder architecture. What configuration of kernel size,…
-
Great works!
Qualcomm has already supported ControlNet, but I have a confusion about how to run it on a mobile phone.
As we know, there are some calculations between ControlNet and UNet, which are …
-
The major contribution of the paper: MQS Loss, why optimizing such an objective can potentially encourage diverse generation?
Why maximizing question similarity could lead to more diverse results, …
-
I'm able to compile the program successfully, but receive the following error when I try to run the head pose estimation test.
`OpenCV Error: Assertion failed (size.width>0 && size.height>0) in imsho…
-
-
Hi, first of all thanks for sharing your improved codes!
While I was testing your jupyter notebook on CoLab, I have the following problems:
Firstly, I would like to know if you are certain that …
-
thanks for your code. This code uses SWA which is not mentioned in your paper, and i find there is a big performance drop without SWA, and the performance is same as baseline, i.e. training with bce …
-
Hi Next-gen Kaldi team,
Thank you once again for your continuous support and patience with our Japanese ASR recipe and model developments.
We're currently training the streaming model based on o…
-
It complains a key error
"KeyError: num_residual_layers"
Here is my script
python -m nmt.nmt \
--src=en --tgt=de \
--vocab_prefix=${DATA_DIR}/vocab \
--train_prefix=${DATA_DIR}/…
-
**Describe the bug**
Model I am using UniLM:
I use the following code to load the model.
```
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("micro…