uform-gen2-qwen-500m
Model ID: @cf/unum/uform-gen2-qwen-500m
UForm-Gen is a small generative vision-language model primarily designed for Image Captioning and Visual Question Answering. The model was pre-trained on the internal image captioning dataset and fine-tuned on public instructions datasets: SVIT, LVIS, VQAs datasets.
Properties
Task Type: Image-to-Text
Code Examples
Workers - TypeScript
export interface Env { AI: Ai;
}
export default { async fetch(request: Request, env: Env): Promise<Response> { const res = await fetch("https://cataas.com/cat"); const blob = await res.arrayBuffer(); const input = { image: [...new Uint8Array(blob)], prompt: "Generate a caption for this image", max_tokens: 512, }; const response = await env.AI.run( "@cf/unum/uform-gen2-qwen-500m", input ); return new Response(JSON.stringify(response)); },
} satisfies ExportedHandler<Env>;
Response
{ "description": " This is a photo of a supdog."
}
API Schema
The following schema is based on JSON SchemaInput JSON Schema
Output JSON Schema