Prateek Gupta

@danielhanchen Thanks a lot for the quick response and the fix. It's working but facing another error-  `ValueError: Invalid pattern: '**' can only be an entire path component` Can...

> @dsbyprateekg That's a weird bug - do u have a more complete error trace - ie are u just using our notebook? It's my bad, I forgot to attach...

> @dsbyprateekg Is ur Kaggle instance connected to the internet? Yes.

@DeanChugall Thanks again! It solved my issue and I am able to proceed.

@danielhanchen Yes, datasets issue was also resolved. But now facing another error- `TypeError: '>' not supported between instances of 'NoneType' and 'int'` While running the training command- `from trl import...

so the issue is resolved once I commented the line `max_steps = None`. The next error is with command `trainer_stats = trainer.train()` and it's related to wandb logon. Although I...

@danielhanchen I have added my wandb login but now I am facing `nbclient.exceptions.DeadKernelError: Kernel died` error while doing the training using command `trainer_stats = trainer.train()` Please check logs and see...

@NhatAnh1708 please mention which file to run for converting the model to tflite.

You need to convert the yolov9 weight file to tflite format. For this conversion try following link- [https://github.com/NhatAnh1708/TFLITE-Yolov9.git](url)

Apply the following changes to fix your error- for yolov9-c and yolov9-e= change line 903 in utils/general.py to- prediction = prediction[0][1] and for gelan-c.pt and gelan-e.pt= change line 903 in...