ovos-model2vec-intents-distiluse-base-multilingual-cased-v2 is a static embedding model based on distiluse-base-multilingual-cased-v2. It is designed for use with the OVOS voice assistant framework to perform multilingual intent detection. The model can be used with both Model2Vec and sentence-transformers libraries for fast embedding generation.
In the Other AI space, Ovos Model2vec Intents Distiluse Base Multilingual Cased takes a focused approach. It focuses on converting text into fixed-size embeddings optimized for intent classification in voice assistants. Ovos Model2vec Intents Distiluse Base Multilingual Cased is an open-source project aimed at developers. The project is open source (MIT). Ovos Model2vec Intents Distiluse Base Multilingual Cased is available on the web, the command line, and API.
It is developed by Jarbas, and it first shipped in 2024. Development happens publicly on GitHub with 2.2k stars and 7 commits in the last 90 days. Key capabilities include Static Embeddings, Multilingual Support, and Intent Classification.
Summary written by a language model from the project’s public pages.
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