transformers-fork
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State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
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TypeScript
/**
* Helper function to get a file, using either the Fetch API or FileSystem API.
*
* @param {URL|string} urlOrPath The URL/path of the file to get.
* @returns {Promise<FileResponse|Response>} A promise that resolves to a FileResponse object (if the file is retrieved using the FileSystem API), or a Response object (if the file is retrieved using the Fetch API).
*/
export function getFile(urlOrPath: URL | string): Promise<FileResponse | Response>;
/**
*
* Retrieves a file from either a remote URL using the Fetch API or from the local file system using the FileSystem API.
* If the filesystem is available and `env.useCache = true`, the file will be downloaded and cached.
*
* @param {string} path_or_repo_id This can be either:
* - a string, the *model id* of a model repo on huggingface.co.
* - a path to a *directory* potentially containing the file.
* @param {string} filename The name of the file to locate in `path_or_repo`.
* @param {boolean} [fatal=true] Whether to throw an error if the file is not found.
* @param {PretrainedOptions} [options] An object containing optional parameters.
*
* @throws Will throw an error if the file is not found and `fatal` is true.
* @returns {Promise<Uint8Array>} A Promise that resolves with the file content as a buffer.
*/
export function getModelFile(path_or_repo_id: string, filename: string, fatal?: boolean, options?: PretrainedOptions): Promise<Uint8Array>;
/**
* Fetches a JSON file from a given path and file name.
*
* @param {string} modelPath The path to the directory containing the file.
* @param {string} fileName The name of the file to fetch.
* @param {boolean} [fatal=true] Whether to throw an error if the file is not found.
* @param {PretrainedOptions} [options] An object containing optional parameters.
* @returns {Promise<Object>} The JSON data parsed into a JavaScript object.
* @throws Will throw an error if the file is not found and `fatal` is true.
*/
export function getModelJSON(modelPath: string, fileName: string, fatal?: boolean, options?: PretrainedOptions): Promise<any>;
/**
* Options for loading a pretrained model.
*/
export type PretrainedOptions = {
/**
* If specified, this function will be called during model construction, to provide the user with progress updates.
*/
progress_callback?: import("./core.js").ProgressCallback;
/**
* Configuration for the model to use instead of an automatically loaded configuration. Configuration can be automatically loaded when:
* - The model is a model provided by the library (loaded with the *model id* string of a pretrained model).
* - The model is loaded by supplying a local directory as `pretrained_model_name_or_path` and a configuration JSON file named *config.json* is found in the directory.
*/
config?: import("../configs.js").PretrainedConfig;
/**
* Path to a directory in which a downloaded pretrained model configuration should be cached if the standard cache should not be used.
*/
cache_dir?: string;
/**
* Whether or not to only look at local files (e.g., not try downloading the model).
*/
local_files_only?: boolean;
/**
* The specific model version to use. It can be a branch name, a tag name, or a commit id,
* since we use a git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any identifier allowed by git.
* NOTE: This setting is ignored for local requests.
*/
revision?: string;
};
/**
* Options for loading a pretrained model.
*/
export type ModelSpecificPretrainedOptions = {
/**
* In case the relevant files are located inside a subfolder of the model repo on huggingface.co,
* you can specify the folder name here.
*/
subfolder?: string;
/**
* If specified, load the model with this name (excluding the .onnx suffix). Currently only valid for encoder- or decoder-only models.
*/
model_file_name?: string;
/**
* The device to run the model on. If not specified, the device will be chosen from the environment settings.
*/
device?: import("./devices.js").DeviceType | Record<string, import("./devices.js").DeviceType>;
/**
* The data type to use for the model. If not specified, the data type will be chosen from the environment settings.
*/
dtype?: import("./dtypes.js").DataType | Record<string, import("./dtypes.js").DataType>;
/**
* Whether to load the model using the external data format (used for models >= 2GB in size).
*/
use_external_data_format?: boolean | Record<string, boolean>;
/**
* (Optional) User-specified session options passed to the runtime. If not provided, suitable defaults will be chosen.
*/
session_options?: import("onnxruntime-common").InferenceSession.SessionOptions;
};
/**
* Options for loading a pretrained model.
*/
export type PretrainedModelOptions = PretrainedOptions & ModelSpecificPretrainedOptions;
declare class FileResponse {
/**
* Creates a new `FileResponse` object.
* @param {string|URL} filePath
*/
constructor(filePath: string | URL);
filePath: string | URL;
headers: Headers;
exists: any;
status: number;
statusText: string;
body: ReadableStream<any>;
/**
* Updates the 'content-type' header property of the response based on the extension of
* the file specified by the filePath property of the current object.
* @returns {void}
*/
updateContentType(): void;
/**
* Clone the current FileResponse object.
* @returns {FileResponse} A new FileResponse object with the same properties as the current object.
*/
clone(): FileResponse;
/**
* Reads the contents of the file specified by the filePath property and returns a Promise that
* resolves with an ArrayBuffer containing the file's contents.
* @returns {Promise<ArrayBuffer>} A Promise that resolves with an ArrayBuffer containing the file's contents.
* @throws {Error} If the file cannot be read.
*/
arrayBuffer(): Promise<ArrayBuffer>;
/**
* Reads the contents of the file specified by the filePath property and returns a Promise that
* resolves with a Blob containing the file's contents.
* @returns {Promise<Blob>} A Promise that resolves with a Blob containing the file's contents.
* @throws {Error} If the file cannot be read.
*/
blob(): Promise<Blob>;
/**
* Reads the contents of the file specified by the filePath property and returns a Promise that
* resolves with a string containing the file's contents.
* @returns {Promise<string>} A Promise that resolves with a string containing the file's contents.
* @throws {Error} If the file cannot be read.
*/
text(): Promise<string>;
/**
* Reads the contents of the file specified by the filePath property and returns a Promise that
* resolves with a parsed JavaScript object containing the file's contents.
*
* @returns {Promise<Object>} A Promise that resolves with a parsed JavaScript object containing the file's contents.
* @throws {Error} If the file cannot be read.
*/
json(): Promise<any>;
}
export {};
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