8dl/month
3likes
Identifier
Model ID
TusharGoel/LiLT-Document-QATags
transformerspytorchsafetensorsliltquestion-answeringdocument-question-answeringenarxiv:2202.13669license:mitregion:us
Use LiLT-Document-QA on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, LiLT-Document-QA runs as a managed extractor inside a processing pipeline. Point a bucket of document question answering data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Explore on Mixpeek
Specification
OrganizationTusharGoel
TaskDocument Question Answering
Librarytransformers
Licensemit
Downloads/mo8
Likes3
View on HuggingFace
See model card, files, and community discussion