
andreasjansson/llama-2-13b-embeddings
Convert text prompts into dense vector embeddings. Accept a single string containing up to 100 prompts separated by a cu...
Found 41 models (showing 21-40)
Convert text prompts into dense vector embeddings. Accept a single string containing up to 100 prompts separated by a cu...
Generate text embeddings for semantic search, retrieval, and clustering. Accepts a single text string or a JSON list of...
Convert English text into dense vector embeddings for semantic search, long-document retrieval, RAG, reranking, and reco...
Convert multilingual text into 1024-dimensional embeddings for semantic search, passage retrieval, clustering, and RAG....
Convert English text into dense vector embeddings for semantic search, information retrieval, semantic similarity, and r...
Convert English text to 1024-dimensional embeddings for semantic search, retrieval-augmented generation (RAG), similarit...
Embed English text into dense vectors for semantic search, retrieval, reranking, recommendation, and RAG. Process long d...
Convert multilingual text into vector embeddings for semantic search, cross-lingual retrieval, sentence similarity, clus...
Convert text prompts into vector embeddings for semantic search, clustering, classification, and retrieval. Accept a bat...
Embed text and code into dense vectors for semantic search, retrieval, and clustering. Accepts one or more prompts (sepa...
Compute multilingual text embeddings and a queryβpassage relevance score for semantic search, retrieval, and reranking....
Generate English monolingual embeddings from text inputs, supporting sequence lengths up to 8192. This model, based on a...
Convert text into dense vector embeddings for semantic search, similarity, clustering, and retrieval. Accept one or many...
Generate text embeddings for semantic search, retrieval, clustering, and reranking. Accepts batches of texts and returns...
Convert text into dense sentence embeddings for semantic search and retrieval. Accept single or multiple text strings an...
Embed images and text into a shared CLIP vector space for similarity search and zero-shot classification. Accepts lists...
Convert text in many languages into vector embeddings for cross-lingual semantic search and retrieval. Accept a list of...
Generate multilingual text embeddings for semantic search, retrieval, and relevance ranking. Takes a passage and optiona...
Generate dense text embeddings for English text in bulk. Accepts a JSONL file where each line is a JSON object with a te...
Compute pairwise text similarity for retrieval. Accepts two newline-separated lists of texts and an embedding mode (dens...