Emilio Gómez
Emilio Gómez
Any update on this? You were able to fine-tuning the g2_latin model with your own dataset? I have the same mismatch error in the fine-tuning and changing the lang_char don't...
I have install easyocr with pip, I don't know if maybe this is the problem and i have to installed with this repo from source
My idea is to replicate the process to obtain donut-base-finetuned-docvqa from https://huggingface.co/naver-clova-ix/donut-base. I prefer to obtain it using the fine-tunning colab notebook, but it is giving me RAM memory issues...
Thank you for your responses! But I still have an issue running with the python API: Source code: ``` from ultralytics import YOLO model = YOLO('yolov8n-cls.pt') model.train(data='content/manipulation_classifier', epochs=3) model.predict(source='https://ultralytics.com/images/bus.jpg') ```...
solved with: ``` pip install pytorch-lightning==1.6.4 pip install transformers==4.11.3 pip install timm==0.5.4 ``` I thought that with `pip install .` wasn't needed to install extra packages
Do you have any updates on this? I have the same first questions
@wdprsto thanks I did something similar! Do you know how to obtain the score in the response? and not just the predictions
same issue, any update on this? there is another dataset available to use?
Please, could you share the CASIA dataset again?
I have the same problem, Have anyone an example of how the PubTables-1M-Image_Page_Detection_PASCAL_VOC.tar.gz(75.11 GB) labels are? To reply this structure in my own dataset