Unstructured-inference

* 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

* Integration of Chipperv2 and additional Chipper functionality, which includes automatic detection of GPU,
bounding box prediction and hierarchical representation.
* Remove control characters from the text of all layout elements

* Sort elements extracted by `pdfminer` to get consistent result from `aggregate_by_block()`

* Download yolox_quantized from HF

* Remove all OCR related code expect the table OCR code

* Stop passing ocr_languages parameter into paddle to avoid invalid paddle language code error, this will be fixed until
we have the mapping from standard language code to paddle language code.