meta/llama-4-maverick-instruct
Generates text responses based on prompts using a multimodal language model with mixture-of-experts architecture. Built...
Found 174 models (showing 161-174)
Generates text responses based on prompts using a multimodal language model with mixture-of-experts architecture. Built...
Generates text responses to prompts using a 17 billion parameter mixture-of-experts language model with 16 experts. Feat...
Generates text responses from text, image, and video inputs using a multimodal reasoning model. Processes questions abou...
Generates text responses from text, image, and video inputs using a 35B-parameter multimodal reasoning model optimized b...
Process text, images, audio, and video inputs to generate text and speech responses simultaneously. Features a novel Thi...
Generates text responses based on text, image, or video inputs with strong multimodal reasoning capabilities. Handles vi...
Calculates similarity scores between an input image and multiple text descriptions using OpenAI's CLIP (Contrastive Lang...
Classify images using candidate text labels through a multimodal vision-language model. Takes an image and comma-separat...
Classifies images based on input image content.
Caption multiple images in batch using GPT, Claude, or Gemini models. Processes ZIP archives containing png, jpg, jpeg,...
Analyzes images and answers questions about them based on text prompts. This small 1.86B parameter vision-language model...
Generate text responses from text prompts and optional image inputs using Google's open-weight vision-language model. Su...
Generates text prompts from input images to help create detailed descriptions for image generation models.
Performs image inpainting by filling in masked areas based on text prompts, or generates text prompts by analyzing maske...