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### Feature Name
mPLUG-DocOwl 1.5
### Feature Description
Research about mPLUG-DocOwl 1.5
### Research Findings
## mPLUG-DocOwl 1.5
mPLUG-DocOwl 1.5 is a state-of-the-art multimodal large lang…
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### Describe the feature request
As per https://huggingface.co/microsoft/Florence-2-large-ft/discussions/7, it seems like the model type is not yet supported by the converter:
> Can we get an Onnx…
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large-ocr-model.github.io/strhub/models/utils.py", line 112, in load_from_checkpoint
raise InvalidModelError("No configuration found for '{}'".format(experiment)) from None
strhub.models.u…
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Hi,
Thank you for this amazing model! I made a small tray utility with your model to convert LaTeX: https://github.com/ProfFan/Snap2LaTeX
However, running locally is not fast. It would be great …
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```
import keras_ocr
pipeline = keras_ocr.pipeline.Pipeline()
```
**Error**
```
Looking for C:\Users\keras-ocr\craft_mlt_25k.h5
---------------------------------------------------------------…
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Huggingface Model: https://huggingface.co/microsoft/Phi-3.5-vision-instruct
Fine-tuned Dataset: https://huggingface.co/datasets/linxy/LaTeX_OCR
Usually, fine-tuning a multimodal large model invo…
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### In what scenarios do you need this feature?
After configuring siyuan's OCR, I felt that the recognition rate was low. Later, then I switched to software that invoke the paddleOCR API and found th…
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Unitable is a powerful recognition tool, but I want to train table content recognition that supports other languages. Have any good suggestions or opinions?
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I am getting the following error:
```
Traceback (most recent call last):
File "./ocropus-rtrain", line 286, in
pcs = network.trainSequence(line,cs,update=do_update,key=fname)
File "/ho…
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Dear @JaidedTeam
I would like to fine-tune the EASY OCR in the handwritten Korean language, I am assuming that the pre-trained model is already trained in Korean and English vocabulary and I will …