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@huggingface/transformers

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

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import { PreTrainedModel } from '../modeling_utils.js'; import { SequenceClassifierOutput } from '../modeling_outputs.js'; export class ConvNextV2PreTrainedModel extends PreTrainedModel {} /** * The bare ConvNextV2 model outputting raw features without any specific head on top. */ export class ConvNextV2Model extends ConvNextV2PreTrainedModel {} /** * ConvNextV2 Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet. */ export class ConvNextV2ForImageClassification extends ConvNextV2PreTrainedModel { /** * @param {any} model_inputs */ async _call(model_inputs) { return new SequenceClassifierOutput(await super._call(model_inputs)); } }