TypeError: get_model() got an unexpected keyword argument 'ocr_languages' when using strategy=hi_res

System Info : python3.10
Environment Details : Google Collab

Error encountered when trying to use elements with pdf using hi_res strategy :
elements = partition_pdf("myPDFfile.pdf", strategy="hi_res")

Error output:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
[<ipython-input-58-69a6eb81afc1>](https://localhost:8080/#) in <cell line: 1>()
----> 1 elements = partition_pdf("myPDFfile.pdf", strategy="hi_res")

5 frames
[/usr/local/lib/python3.10/dist-packages/unstructured_inference/inference/layout.py](https://localhost:8080/#) in process_file_with_model(filename, model_name, is_image, fixed_layouts, pdf_image_dpi, **kwargs)
    375     model_name."""
    376 
--> 377     model = get_model(model_name, **kwargs)
    378     if isinstance(model, UnstructuredObjectDetectionModel):
    379         detection_model = model

TypeError: get_model() got an unexpected keyword argument 'ocr_languages'

what is this ocr_languages argument??? I am unable to use the table mode preservation with unstructured at all due to this Appreciate any assistance.

p/s: I have already tried loading some older versions of unstructured and unstructured_inference as mention in other gh repo issue but no difference for me.

I followed the blog post, but got stuck from there onwards despite consulting all relevant docs.

Start with partition_pdf(..., strategy="hi_res") and the traceback location in unstructured_inference/inference/layout.py, then inspect how ocr_languages is passed to get_model. Reproduce the failure in the stated Python 3.10 Google Colab setup and check the linked strategy documentation. Done means hi_res PDF partitioning no longer raises this TypeError and table mode preservation can be used.