2dl/month
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Identifier
Model ID
Yale-LILY/reastap-large-finetuned-wikisqlTags
transformerspytorchbarttext2text-generationtable-question-answeringendataset:wikisqlarxiv:2210.12374endpoints_compatibleregion:us
Use reastap-large-finetuned-wikisql 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, reastap-large-finetuned-wikisql runs as a managed extractor inside a processing pipeline. Point a bucket of table 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.
Specification
OrganizationYale-LILY
TaskTable Question Answering
Librarytransformers
Downloads/mo2
Likes1
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