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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 { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js'; import { Tensor } from '../../utils/tensor.js'; export class MoonshineFeatureExtractor extends FeatureExtractor { /** * Asynchronously extracts input values from a given audio using the provided configuration. * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array. * @returns {Promise<{ input_values: Tensor; }>} The extracted input values. */ async _call(audio) { validate_audio_inputs(audio, 'MoonshineFeatureExtractor'); if (audio instanceof Float64Array) { audio = new Float32Array(audio); } const shape = [ 1, /* batch_size */ audio.length, /* num_samples */ ]; return { input_values: new Tensor('float32', audio, shape), }; } }