Instructions to use naver-clova-ix/donut-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naver-clova-ix/donut-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="naver-clova-ix/donut-base")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("naver-clova-ix/donut-base") model = AutoModelForImageTextToText.from_pretrained("naver-clova-ix/donut-base") - Notebooks
- Google Colab
- Kaggle
fine tuning Donut OCR model for higher accuracy
#16 opened 9 months ago
by
MugishaTheProgrammer
Adding ONNX file of this model
#15 opened 12 months ago
by
effyau
Fine tuning using LoRa
1
#14 opened about 1 year ago
by
DenisMir
Error Fine Tuning due to unexpected keyword argument
1
#13 opened over 1 year ago
by
reganshen
How to extract all the text from the document?
1
#12 opened almost 2 years ago
by
Maz369
add _name_or_path
#11 opened almost 2 years ago
by
nbroad
Why torch.compile has very small acceleration for Donut model?
๐ 1
1
#10 opened about 2 years ago
by
gorodnitskiy
Will this modle suitable for invoce processing ?
2
#9 opened over 2 years ago
by
total008
Discrepancies between DONUT / BART Tokenizer and missing characters
๐ 9
1
#8 opened over 2 years ago
by
DieseKartoffel
Adding `safetensors` variant of this model
#7 opened over 2 years ago
by
SFconvertbot
Architecture of donut
#6 opened almost 3 years ago
by
shubham05
Change image_mean and image_std to ImageNet to match original codebase
#5 opened over 3 years ago
by
morgan
Failed to download Donut Processor
๐ 1
5
#3 opened over 3 years ago
by
paturi1710
Minimum GPU requirement to fine-tune donut model
#2 opened almost 4 years ago
by
LeonardoVaz