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!

39 lines (37 loc) • 1.46 kB
import { PreTrainedModel } from '../modeling_utils.js'; import { MaskedLMOutput, QuestionAnsweringModelOutput, SequenceClassifierOutput } from '../modeling_outputs.js'; export class SqueezeBertPreTrainedModel extends PreTrainedModel {} export class SqueezeBertModel extends SqueezeBertPreTrainedModel {} export class SqueezeBertForMaskedLM extends SqueezeBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise<MaskedLMOutput>} returned object */ async _call(model_inputs) { return new MaskedLMOutput(await super._call(model_inputs)); } } export class SqueezeBertForSequenceClassification extends SqueezeBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise<SequenceClassifierOutput>} returned object */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } } export class SqueezeBertForQuestionAnswering extends SqueezeBertPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise<QuestionAnsweringModelOutput>} returned object */ async _call(model_inputs) { return new QuestionAnsweringModelOutput(await super._call(model_inputs)); } }