UNPKG

@huggingface/transformers

Version:

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

25 lines (20 loc) • 840 B
import { PreTrainedModel } from '../modeling_utils.js'; import { SequenceClassifierOutput } from '../modeling_outputs.js'; export class MobileNetV1PreTrainedModel extends PreTrainedModel {} /** * The bare MobileNetV1 model outputting raw hidden-states without any specific head on top. */ export class MobileNetV1Model extends MobileNetV1PreTrainedModel {} /** * MobileNetV1 model with an image classification head on top (a linear layer on top of the pooled features), * e.g. for ImageNet. */ export class MobileNetV1ForImageClassification extends MobileNetV1PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } } export class MobileNetV1ForSemanticSegmentation extends MobileNetV1PreTrainedModel {}