21dl/month
Identifier
Model ID
NeoZJX/m8-n0-numeric-equity-rankingTags
pytorchsafetensorsm8_n0_numericfinancequantitative-financeequity-rankingcross-sectionaltabularnon-commercialtabular-regressionendataset:khaihernlow/fnspidarxiv:2402.06698license:cc-by-nc-4.0model-indexregion:us
Use m8-n0-numeric-equity-ranking 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, m8-n0-numeric-equity-ranking runs as a managed extractor inside a processing pipeline. Point a bucket of tabular regression 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
OrganizationNeoZJX
TaskTabular Regression
Librarypytorch
Licensecc-by-nc-4.0
Downloads/mo21
View on HuggingFace
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