Comments (3)
ThilinaRajapakse
commented on May 20, 2024
The recommended method is to get the code from the Github repo since the code on the article is for demonstration only. I do understand that sometimes you just want to use copy and paste, but updating the code on the article is quite tedious (updating the Gist doesn't automatically update the article as far as I know). I'll see what I can do.
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alfredtangsw
commented on May 20, 2024
Agreed. That's why I am using your repo now. Haha
I also have a separate issue with the code that I'm trying to resolve on my own. If I can't, I will open an issue to ask you about it.
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ThilinaRajapakse
commented on May 20, 2024
Hope it goes well!
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Related Issues (20)
- File path problem HOT 3
- AttributeError: module 'torch.nn.functional' has no attribute 'one_hot' HOT 1
- How to use other models without loading them from internet? HOT 3
- Model performance degrades when moved to Multi-GPU HOT 5
- Not An issue- Adding metadata HOT 3
- Eval results outputs HOT 2
- where is the positional embedding in the Bert model inputs
- Regarding number of train test samples HOT 5
- utils.py [output_mode = regression] HOT 3
- ImportError: cannot import name 'amp' HOT 1
- passing args HOT 2
- Running Inference HOT 2
- 'math' is not defined HOT 1
- ERROR:pytorch_transformers.tokenization_utils:Couldn't reach server to download vocabulary. HOT 2
- Num epoch and other standard configurations HOT 5
- How to make predications HOT 7
- UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. HOT 2
- can I have more column in train set HOT 10
- RuntimeError: Trying to create tensor with negative dimension -1: [-1, 768] HOT 2
- Update prerec packages info: transformer and apex? HOT 1
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