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@huggingface/transformers

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import { PreTrainedModel } from '../modeling_utils.js'; import { MaskedLMOutput, QuestionAnsweringModelOutput, SequenceClassifierOutput, TokenClassifierOutput, } from '../modeling_outputs.js'; export class RobertaPreTrainedModel extends PreTrainedModel {} export class RobertaModel extends RobertaPreTrainedModel {} /** * RobertaForMaskedLM class for performing masked language modeling on Roberta models. */ export class RobertaForMaskedLM extends RobertaPreTrainedModel { /** * 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)); } } /** * RobertaForSequenceClassification class for performing sequence classification on Roberta models. */ export class RobertaForSequenceClassification extends RobertaPreTrainedModel { /** * 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)); } } /** * RobertaForTokenClassification class for performing token classification on Roberta models. */ export class RobertaForTokenClassification extends RobertaPreTrainedModel { /** * Calls the model on new inputs. * * @param {Object} model_inputs The inputs to the model. * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification. */ async _call(model_inputs) { return new TokenClassifierOutput(await super._call(model_inputs)); } } /** * RobertaForQuestionAnswering class for performing question answering on Roberta models. */ export class RobertaForQuestionAnswering extends RobertaPreTrainedModel { /** * 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)); } }