text2vec-base-chinese · deepinfra

A sentence similarity model that can be used for various NLP tasks such as text classification, sentiment analysis, named entity recognition, question answering, and more. It utilizes the CoSENT architecture, which consists of a transformer encoder and a pooling module, to encode input texts into vectors that capture their semantic meaning. The model was trained on the nli_zh dataset and achieved high performance on various benchmark datasets.

Modelo baseTodos los modelos de esta baseTodos los modelos del proveedoral proveedor

Entrada, $/1M $0.005

Salida, $/1M —

Contexto 512

Acepta —

Última comprobación 04.11.2026 12:00:14 UTC

Fuente —