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@huggingface/inference

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Typescript client for the Hugging Face Inference Providers and Inference Endpoints

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import { resolveProvider } from "../../lib/getInferenceProviderMapping.js"; import { getProviderHelper } from "../../lib/getProviderHelper.js"; import { base64FromBytes } from "../../utils/base64FromBytes.js"; import { innerRequest } from "../../utils/request.js"; async function preparePayload(args) { if (args.inputs instanceof Blob) { return { ...args, inputs: { image: base64FromBytes(new Uint8Array(await args.inputs.arrayBuffer())), }, }; } else { return { ...args, inputs: { image: base64FromBytes(new Uint8Array(args.inputs.image instanceof ArrayBuffer ? args.inputs.image : await args.inputs.image.arrayBuffer())), }, }; } } /** * Classify an image to specified classes. * Recommended model: openai/clip-vit-large-patch14-336 */ export async function zeroShotImageClassification(args, options) { const provider = await resolveProvider(args.provider, args.model, args.endpointUrl); const providerHelper = getProviderHelper(provider, "zero-shot-image-classification"); const payload = await preparePayload(args); const { data: res } = await innerRequest(payload, providerHelper, { ...options, task: "zero-shot-image-classification", }); return providerHelper.getResponse(res); }