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!

22 lines (18 loc) • 733 B
import { PreTrainedModel } from '../modeling_utils.js'; import { SequenceClassifierOutput } from '../modeling_outputs.js'; export class EfficientNetPreTrainedModel extends PreTrainedModel {} /** * The bare EfficientNet model outputting raw features without any specific head on top. */ export class EfficientNetModel extends EfficientNetPreTrainedModel {} /** * EfficientNet Model with an image classification head on top (a linear layer on top of the pooled features). */ export class EfficientNetForImageClassification extends EfficientNetPreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }