This model provides Persian-specific embeddings suitable for semantic similarity, retrieval-augmented generation, and other NLP tasks involving Farsi text. Hosted on Hugging Face, it supports the feature-extraction pipeline and can be used with standard sentence-transformers or transformers libraries. It is actively served via Hugging Face Inference endpoints.
In the Foundation models & chat space, Persian Embeddings takes a focused approach. It focuses on generating high-quality embeddings for Persian text to enable semantic search and retrieval applications. It is built as an open-source project for developers working with Persian language AI. The project is open source (Open Source). It runs on the web, the command line, and API.
Behind Persian Embeddings is heydariAI, and it first shipped in 2024.
Summary written by a language model from the project’s public pages.
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