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  • 1
    Qwen3 Embedding

    Qwen3 Embedding

    Designed for text embedding and ranking tasks

    ...It achieves state-of-the-art performance on benchmarks like MTEB (Multilingual Text Embedding Benchmark) and supports instruction-aware embedding (i.e. embedding task instructions along with queries) and flexible embedding/vector dimension definitions. It is meant for tasks such as text retrieval, classification, clustering, bitext mining, and code retrieval.
    Downloads: 1 This Week
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  • 2
    SentenceTransformers

    SentenceTransformers

    Multilingual sentence & image embeddings with BERT

    ...These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. This can be useful for semantic textual similar, semantic search, or paraphrase mining. The framework is based on PyTorch and Transformers and offers a large collection of pre-trained models tuned for various tasks. Further, it is easy to fine-tune your own models. Our models are evaluated extensively and achieve state-of-the-art performance on various tasks. Further, the code is tuned to provide the highest possible speed.
    Downloads: 1 This Week
    Last Update:
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