@huggingface/inference
Version:
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
71 lines (70 loc) • 2.69 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.NebiusFeatureExtractionTask = exports.NebiusTextToImageTask = exports.NebiusTextGenerationTask = exports.NebiusConversationalTask = void 0;
const omit_js_1 = require("../utils/omit.js");
const providerHelper_js_1 = require("./providerHelper.js");
const errors_js_1 = require("../errors.js");
const NEBIUS_API_BASE_URL = "https://api.studio.nebius.ai";
class NebiusConversationalTask extends providerHelper_js_1.BaseConversationalTask {
constructor() {
super("nebius", NEBIUS_API_BASE_URL);
}
}
exports.NebiusConversationalTask = NebiusConversationalTask;
class NebiusTextGenerationTask extends providerHelper_js_1.BaseTextGenerationTask {
constructor() {
super("nebius", NEBIUS_API_BASE_URL);
}
}
exports.NebiusTextGenerationTask = NebiusTextGenerationTask;
class NebiusTextToImageTask extends providerHelper_js_1.TaskProviderHelper {
constructor() {
super("nebius", NEBIUS_API_BASE_URL);
}
preparePayload(params) {
return {
...(0, omit_js_1.omit)(params.args, ["inputs", "parameters"]),
...params.args.parameters,
response_format: "b64_json",
prompt: params.args.inputs,
model: params.model,
};
}
makeRoute() {
return "v1/images/generations";
}
async getResponse(response, url, headers, outputType) {
if (typeof response === "object" &&
"data" in response &&
Array.isArray(response.data) &&
response.data.length > 0 &&
"b64_json" in response.data[0] &&
typeof response.data[0].b64_json === "string") {
const base64Data = response.data[0].b64_json;
if (outputType === "url") {
return `data:image/jpeg;base64,${base64Data}`;
}
return fetch(`data:image/jpeg;base64,${base64Data}`).then((res) => res.blob());
}
throw new errors_js_1.InferenceClientProviderOutputError("Received malformed response from Nebius text-to-image API");
}
}
exports.NebiusTextToImageTask = NebiusTextToImageTask;
class NebiusFeatureExtractionTask extends providerHelper_js_1.TaskProviderHelper {
constructor() {
super("nebius", NEBIUS_API_BASE_URL);
}
preparePayload(params) {
return {
input: params.args.inputs,
model: params.model,
};
}
makeRoute() {
return "v1/embeddings";
}
async getResponse(response) {
return response.data.map((item) => item.embedding);
}
}
exports.NebiusFeatureExtractionTask = NebiusFeatureExtractionTask;