donut-python 1.0.9
0
OCR-free Document Understanding Transformer
Contents
OCR-free Document Understanding Transformer
Stars: 5761, Watchers: 5761, Forks: 468, Open Issues: 195The clovaai/donut
repo was created 2 years ago and the last code push was 3 months ago.
The project is extremely popular with a mindblowing 5761 github stars!
How to Install donut-python
You can install donut-python using pip
pip install donut-python
or add it to a project with poetry
poetry add donut-python
Package Details
- Author
- Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park
- License
- MIT
- Homepage
- https://github.com/clovaai/donut
- PyPi:
- https://pypi.org/project/donut-python/
- GitHub Repo:
- https://github.com/clovaai/donut
Classifiers
- Scientific/Engineering/Artificial Intelligence
- Software Development/Libraries
- Software Development/Libraries/Python Modules
Related Packages
Errors
A list of common donut-python errors.
Code Examples
Here are some donut-python
code examples and snippets.
GitHub Issues
The donut-python package has 195 open issues on GitHub
- Issue while training with custom decoder and tokenizer
- RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasGemmStridedBatchedExFix
- No answer in docVQA
- Error in running sample colab - "Something went wrong Unexpected end of JSON input"
- How to generate own dataset in parquet format, just like the data format given by readme
- Are the parameters of swinTransformer trained during fine-tuning?
- SwinTransformer' object has no attribute 'pos_drop'
- size mismatch for encoder.model.layers.1.downsample.norm.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([512]).
- Backslash Rendered as Boxes with Cross Inside
- Data Extraction Fine Tuning
- base donut model keeps producing repeated characters
- Synthdog generates special symbols
- receipt scanning - issue with same line items
- Neither of the DocVQA Task1 (Document VQA) demos work
- What are some available prompts