@huggingface/inference
Version:
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
57 lines (52 loc) • 1.86 kB
text/typescript
import type { ZeroShotImageClassificationInput, ZeroShotImageClassificationOutput } from "@huggingface/tasks";
import { resolveProvider } from "../../lib/getInferenceProviderMapping";
import { getProviderHelper } from "../../lib/getProviderHelper";
import type { BaseArgs, Options, RequestArgs } from "../../types";
import { base64FromBytes } from "../../utils/base64FromBytes";
import { innerRequest } from "../../utils/request";
/**
* @deprecated
*/
interface LegacyZeroShotImageClassificationInput {
inputs: { image: Blob | ArrayBuffer };
}
export type ZeroShotImageClassificationArgs = BaseArgs &
(ZeroShotImageClassificationInput | LegacyZeroShotImageClassificationInput);
async function preparePayload(args: ZeroShotImageClassificationArgs): Promise<RequestArgs> {
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: ZeroShotImageClassificationArgs,
options?: Options
): Promise<ZeroShotImageClassificationOutput> {
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<ZeroShotImageClassificationOutput>(payload, providerHelper, {
...options,
task: "zero-shot-image-classification",
});
return providerHelper.getResponse(res);
}