Hi all,
After having read about SmolDocling for parsing PDF:s I’m really keen to give it a spin as an alternative to the Azure Document Intelligence service (possibly!)
SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling’s most popular features while ensuring full compatibility with Docling through seamless support for DoclingDocuments .
However, I do realise that I cannot expect this model to work on Bumblebee out of the gate.
In another post Jonathan Klosko commented on use of a “receipts model” where a few required features were missing in Bumblebee. It would be reasonable to assume that this would be the case for SmolDocling as well.
** (ArgumentError) could not match the class name "Idefics3ForConditionalGeneration" to any of the supported models, please specify the :module and :architecture options
(bumblebee 0.6.3) lib/bumblebee.ex:434: Bumblebee.do_load_spec/4
(bumblebee 0.6.3) lib/bumblebee.ex:603: Bumblebee.maybe_load_model_spec/3
(bumblebee 0.6.3) lib/bumblebee.ex:591: Bumblebee.load_model/2
#cell:t4ttbdzq2pvyqvx7:1: (file)
Is there any reasonable path to have SmolDocling running on Bumblebee? If so, what would that entail?
Thank you in advance for any input!
Kind regards,
Carl