🤖 Model
lucataco/nomic-embed-text-v1
Convert text into vector embeddings for semantic search, retrieval-augmented generation, clustering, and classification....
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Models tagged "text-embedding"
Found 42 models (showing 1-20)
🤖 Model
lucataco/snowflake-arctic-embed-l
Embed text into 1024-dimensional vectors for semantic search, dense retrieval, and RAG pipelines. Takes a text prompt an...
🤖 Model 🖼️
openai/clip
Create 768-dimensional CLIP (ViT-L/14) embeddings from text or images. Embed both modalities into a shared vector space...
🤖 Model
lucataco/qwen3-embedding-8b
Embed text into dense vectors for semantic search, retrieval/reranking, clustering, classification, recommendations, and...
🤖 Model
beautyyuyanli/multilingual-e5-large
Generate multilingual text embeddings for semantic search, retrieval, and clustering. Takes one or more texts as input a...
🤖 Model
cuuupid/gte-qwen2-7b-instruct
Convert text into dense vector embeddings for semantic search and retrieval. Generate sentence and paragraph embeddings...
🤖 Model 🔊
daanelson/imagebind
Generate shared embeddings for text, images, and audio for cross-modal retrieval and similarity search. Accepts a text s...
🤖 Model 🖼️
hanglics/dse-qwen2-2b-mrl-v1
Generate dense embeddings for text queries and document screenshots to power document, PDF, webpage, and slide retrieval...
🤖 Model
zsxkib/embedding-gemma-300m
Convert text into 128–768-dimensional embeddings for semantic search, retrieval-augmented generation (RAG), classificati...
🤖 Model
mark3labs/embeddings-gte-base
Convert text into dense vector embeddings for semantic search, information retrieval, semantic textual similarity, reran...
🤖 Model
nateraw/bge-large-en-v1.5
Convert English text into dense vector embeddings. Accepts lists of text strings and returns normalized embeddings for s...
🤖 Model
center-for-curriculum-redesign/bge_1-5_query_embeddings
Generate query embeddings from short English text for passage retrieval and semantic search. Accepts an array of query s...
🤖 Model
creatorrr/xtremedistil-l6-h384-uncased
Generate text embeddings from one or more text strings. Accept up to five text inputs and return dense vector embeddings...
🤖 Model
ibm-granite/granite-embedding-278m-multilingual
Generate multilingual text embeddings for semantic search, similarity, and retrieval. Accepts a list of texts and return...
🤖 Model 🖼️
krthr/clip-embeddings
Generate text and image embeddings for semantic search and cross-modal retrieval. Accepts text or an image and returns a...
🤖 Model 🖼️
andreasjansson/clip-features
Generate CLIP ViT-L/14 embeddings from text and images for cross-modal similarity search and retrieval. Accept text stri...
🤖 Model 🖼️
negu63/tinyclip
Create 512-dimensional embeddings for images and text for similarity search, semantic retrieval, and clustering. Accept...
🤖 Model 🖼️
zsxkib/jina-clip-v2
Create multilingual text and image embeddings for cross-modal retrieval and semantic search. Accepts text (up to 8192 to...
🤖 Model
adirik/e5-mistral-7b-instruct
Generate instruction-tuned text embeddings for documents and queries, with an optional relevance score for query–documen...
🤖 Model
adirik/multilingual-e5-large
Generate multilingual text embeddings and a relevance score from a query and a passage. Takes a text query and a text pa...