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Hello,
I'm searching for a way to visualize the attention maps of the pre-trained models but I didn't found any solution yet. Did someone already succesfully did this ?
Thank you !
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The current code is unable to support multi-GPU environment.
I parallelized the model using torch.nn.DataParallel(model).cuda()
I got this error when I try :
![16032841374066409239620202407970…
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Hi,
I have used a similar dataset as image_classification_albumentations.ipynb and reused the notbook code completely but model training failing with Target size (torch.Size([32, 224, 224, 3])) mus…
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Hey all!
The video models are all supported in Transformers now and will be part of the v4.42 release. Feel free to check out the model checkpoints [here](https://huggingface.co/collections/llava-h…
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加载方式
```
model = AutoModel.from_pretrained(visualchatglm_model_path,trust_remote_code=True).to(torch.cuda.current_device())
```
运行环境如下:
```
SwissArmyTransformer 0.3.7
transforme…
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## Summary
This RFC is to propose the Navier-Stokes solver in branch `solver/navier-stokes`. The NS solver utilized semi-implicit Chorin's projection scheme which is mainly to be used for modeling …
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Hi :)
i run successfully the transformers version, but i have difficulties with the diffusers version,
i changed the "assets/concept_list.json" according my data, but i got the next error
why?
…
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```
from datasets import load_dataset
from random import randint
# Load our test dataset
eval_dataset = load_dataset("json", data_files="test_dataset.json", split="train")
rand_idx = ran…
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Hi! Thank you for your continued work with this project! I would like to report a possible TensorFlow GPU configuration issue with the documented nebulydocker/nebullvm container that appears to preve…
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when I run the model,I got the error below.
Traceback (most recent call last):
File "/Users/scs/Desktop/simbert-master/test_longformer.py", line 41, in
output = model(input_ids, attention_…