@huggingface/transformers/src/models/neobert/modeling_neobert.js

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import { PreTrainedModel } from '../modeling_utils.js';
import {
    MaskedLMOutput,
    SequenceClassifierOutput,
    TokenClassifierOutput,
    QuestionAnsweringModelOutput,
} from '../modeling_outputs.js';

export class NeoBertPreTrainedModel extends PreTrainedModel {}
export class NeoBertModel extends NeoBertPreTrainedModel {}

export class NeoBertForMaskedLM extends NeoBertPreTrainedModel {
    /**
     * Calls the model on new inputs.
     *
     * @param {Object} model_inputs The inputs to the model.
     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.
     */
    async _call(model_inputs) {
        return new MaskedLMOutput(await super._call(model_inputs));
    }
}

export class NeoBertForSequenceClassification extends NeoBertPreTrainedModel {
    /**
     * Calls the model on new inputs.
     *
     * @param {Object} model_inputs The inputs to the model.
     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.
     */
    async _call(model_inputs) {
        return new SequenceClassifierOutput(await super._call(model_inputs));
    }
}

export class NeoBertForTokenClassification extends NeoBertPreTrainedModel {
    /**
     * 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));
    }
}

export class NeoBertForQuestionAnswering extends NeoBertPreTrainedModel {
    /**
     * Calls the model on new inputs.
     *
     * @param {Object} model_inputs The inputs to the model.
     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.
     */
    async _call(model_inputs) {
        return new QuestionAnsweringModelOutput(await super._call(model_inputs));
    }
}