Model: vlad-m-dev/distiluse-base-multilingual-v2-merged-onnx
Author: vlad-m-dev
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, onnx, feature-extraction, sentence-embeddings, sentence-similarity, semantic-search, vector-search, retrieval-augmented-generation, multilingual, cross-lingual, low-resource, merged-model, combined-model, tokenizer-embedded, tokenizer-integrated, standalone, all-in-one, quantized, int8, int8-quantization, optimized, efficient, fast-inference, low-latency, lightweight, small-model, edge-ready, arm64, edge-device, mobile-device, on-device, mobile-inference, tablet, smartphone, embedded-ai, onnx-runtime, onnx-model, transformers, MiniLM, MiniLM-L12-v2, paraphrase, usecase-ready, plug-and-play, production-ready, deployment-ready, real-time, fasttext, distiluse, base_model:Xenova/distiluse-base-multilingual-cased-v2, base_model:quantized:Xenova/distiluse-base-multilingual-cased-v2, license:mit, endpoints_compatible, region:us
Base models (quantized): id: Xenova/distiluse-base-multilingual-cased-v2
Card metadata: license: mit
base_model: Xenova/distiluse-base-multilingual-cased-v2
pipeline_tag: feature-extraction
tags: feature-extraction, sentence-embeddings, sentence-transformers, sentence-similarity, semantic-search, vector-search, retrieval-augmented-generation, multilingual, cross-lingual, low-resource, merged-model, combined-model, tokenizer-embedded, tokenizer-integrated, standalone, all-in-one, quantized, int8, int8-quantization, optimized, efficient, fast-inference, low-latency, lightweight, small-model, edge-ready, arm64, edge-device, mobile-device, on-device, mobile-inference, tablet, smartphone, embedded-ai, onnx, onnx-runtime, onnx-model, transformers, MiniLM, MiniLM-L12-v2, paraphrase, usecase-ready, plug-and-play, production-ready, deployment-ready, real-time, fasttext, distiluse
Likes: 1 | All-time downloads: 0
Created: 2025-06-20 22:51:28