Unstructured-inference

* Allow table model to accept optional OCR tokens

* Fix: include onnx as base dependency.

• Fix a memory leak in DonutProcessor when using large images in numpy format
• Set the right settings for beam search size > 1
• Fix a bug that in very rare cases made the last element predicted by Chipper to have a bbox = None

* fix a bug where invalid zoom factor lead to exceptions; now invalid zoom factors results in no scaling of the image

* Improved packaging

* Dynamic beam search size has been implemented for Chipper, the decoding process starts with a size = 1 and changes to size = 3 if repetitions appear.
* Fixed bug when PDFMiner predicts that an image text occupies the full page and removes annotations by Chipper.
* Added random seed to Chipper text generation to avoid differences between calls to Chipper.
* Allows user to use super-gradients model if they have a callback predict function, a yaml file with names field corresponding to classes and a path to the model weights