@huggingface/inference
Version:
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
37 lines (36 loc) • 1.38 kB
JavaScript
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);
}