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simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

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Is there a way to log and view my training and validation accuracy in wandb??

`Traceback (most recent call last): File "", line 1, in File "/home/user/.virtualenvs/t5/lib/python3.8/site-packages/simplet5/simplet5.py", line 442, in predict input_ids = input_ids.to(self.device) AttributeError: 'SimpleT5' object has no attribute 'device'`

Hi knocking out an error ValueError: transformers.__spec__ is None ![Screenshot (16)](https://user-images.githubusercontent.com/80334862/131906693-f1155f65-32d7-4366-b4dc-5bb72f14254d.png)

Hi, I am trying to deploy the model in Azure. So I have used Azure Data Bricks for the coding part and for storage I am using ADLS. After Mounting...

I am trying to fine-tune mt5 using simpleT5 for the grammatical error correction task, and followed the exact steps that you explained. However, the model.predict returns strange results not related...

Is there anyway to get the compute metrics using simpleT5 ? also what about the possibility to push the model to the huggingface hub ?

There is a problem to install packages using Poetry because it requires exact versions of the packages. To solve this I propose to adjust versions in `requirements.txt`

To reproduce run: https://colab.research.google.com/drive/1SgLlLBI16ZQkjMAjJhzfNhAO0D6zgUwh?usp=sharing Probably, it is a bug in transformers.

Hello, I was trying to train the mt5 model on the paws-x dataset but it gives me the following error (although my dataframe looks exactly like the dataframe in the...