text-embedding AI Models

🤖 Model 🖼️

raphaelrk/clip-batch

Compute CLIP embeddings for batches of text and images. Accept multiple newline-separated inputs and return one vector e...

🖼️ • text-embedding • image-embedding • multimodal-embedding • 14 runs

🤖 Model

danielkrejci/sentence-transformer

Compute semantic similarity scores for input sentences. Takes a list of sentences, encodes them into sentence embeddings...

text-embedding • semantic-similarity • 6.3K runs

🤖 Model

light770/qwen3-embedding-0.6b

Convert text to vector embeddings for semantic search, RAG, and pgvector-based retrieval. Accepts a string or an array o...

text-embedding • multilingual • 1 runs

🤖 Model 🖼️ → 📝

openai/gpt-4o

Generates text responses from text prompts, messages, and images with multimodal capabilities. Processes both text and v...

🖼️ → 📝 • text-generation • image-to-text • code-generation • 723.2K runs

🤖 Model 🖼️ → 📝

openai/gpt-4.1-nano

Generates text responses from prompts with ultra-low latency and fast response times. Supports up to 1 million token con...

🖼️ → 📝 • text-generation • image-to-text • text-embedding • 2.3M runs

🤖 Model 🖼️ → 📝

anthropic/claude-opus-4.6

Generate text and analyze images with Anthropic's most advanced language model, featuring state-of-the-art coding, reaso...

🖼️ → 📝 • text-generation • image-to-text • code-generation • 167.9K runs

🤖 Model 🖼️ → 📝

google/gemini-3.1-pro

Advanced multimodal language model that processes text, images, videos, and audio to generate text responses. Features t...

🖼️ → 📝 • text-generation • image-to-text • code-generation • 574.6K runs

🤖 Model 📝 → 📝

lucataco/qwq-32b

Generates text responses with advanced reasoning capabilities based on textual prompts. Excels at mathematical problem-s...

📝 → 📝 • text-generation • text-embedding • 9.2K runs

🤖 Model 📝 → 📝

light770/qwen3-reranker-0.6b

Reranks search results by scoring query-document pairs for improved retrieval accuracy in RAG pipelines. Uses a cross-en...

📝 → 📝 • text-embedding • text-generation • 15 runs

🤖 Model 🖼️ → 📝

google-deepmind/gemma-3-27b-it

Generates text based on text prompts and optional image inputs. Handles multimodal tasks combining text and image analys...

🖼️ → 📝 • text-generation • image-to-text • question-answering • 36.4K runs

🤖 Model 🖼️ → 📝

google-deepmind/gemma-3-4b-it

Generate text based on text prompts and optional image inputs. This multimodal language model handles both text and imag...

🖼️ → 📝 • text-generation • image-to-text • code-generation • 13.3K runs

🤖 Model 🖼️ → 📝

cjwbw/clip-vit-large-patch14

Calculates similarity scores between an input image and multiple text descriptions using OpenAI's CLIP (Contrastive Lang...

🖼️ → 📝 • image-to-text • image-embedding • text-embedding • 15.9M runs

🤖 Model

yxzwayne/bge-reranker-v2-m3

Ranks and scores query-document pairs using BAAI's newest balance-striking reranker model. Takes JSON input containing q...

text-embedding • document-ranking • information-retrieval • 64.1K runs

🤖 Model

sesamo-srl/bge-reranker-v2-m3

Reranks query-document pairs by computing relevance scores between questions and answers. Takes JSON input containing tu...

text-embedding • 371.0K runs

🤖 Model

yxzwayne/bge-reranker-v2-gemma

Calculates relevance and similarity scores between text pairs. Takes JSON-formatted input containing query-passage pairs...

text-embedding • 124 runs

🤖 Model

ninehills/bge-reranker-large

Reranks pairs of text inputs by computing relevance scores between them. Takes JSON-formatted text pairs as input and re...

text-embedding • 288 runs

🤖 Model

ninehills/bge-reranker-base

Reranks text pairs by computing relevance scores between query-document pairs. Takes JSON input containing pairs of text...

text-embedding • 8.1K runs

🤖 Model 📝 → 📝

fakturi/bge-reranker-large

Reranks pairs of text queries and documents based on their relevance scores using the BGE reranker large model. Takes JS...

📝 → 📝 • text-embedding • text-generation • 25 runs

🤖 Model

yxzwayne/jina-reranker-v1-turbo-en

Reranks documents based on their relevance to a search query. Takes a query string and a list of documents as input, the...

text-embedding • document-ranking • 27 runs

🤖 Model

tejasunku/qwen3-reranker-8b

Rerank search results by scoring and ordering documents based on their relevance to a query using the Qwen3 reranker 8B...

text-embedding • 13.2K runs