0.10.16 • Published 10 months ago

@mediapipe/tasks-text v0.10.16

Weekly downloads
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License
Apache-2.0
Repository
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Last release
10 months ago

MediaPipe Tasks Text Package

This package contains the text tasks for MediaPipe.

Language Detector

The MediaPipe Language Detector task predicts the language of an input text.

const text = await FilesetResolver.forTextTasks(
    "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text/wasm"
);
const languageDetector = await LanguageDetector.createFromModelPath(text,
    "https://storage.googleapis.com/mediapipe-models/language_detector/language_detector/float32/1/language_detector.tflite
);
const result = languageDetector.detect(textData);

For more information, refer to the Language Detector documentation.

Text Classifier

The MediaPipe Text Classifier task lets you classify text into a set of defined categories, such as positive or negative sentiment.

const text = await FilesetResolver.forTextTasks(
    "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text/wasm"
);
const textClassifier = await TextClassifier.createFromModelPath(text,
    "https://storage.googleapis.com/mediapipe-models/text_classifier/bert_classifier/float32/1/bert_classifier.tflite"
);
const classifications = textClassifier.classify(textData);

For more information, refer to the Text Classification documentation.

Text Embedder

The MediaPipe Text Embedder task extracts embeddings from text data.

const text = await FilesetResolver.forTextTasks(
    "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text/wasm"
);
const textEmbedder = await TextEmbedder.createFromModelPath(text,
    "https://storage.googleapis.com/mediapipe-models/text_embedder/universal_sentence_encoder/float32/1/universal_sentence_encoder.tflite"
);
const embeddings = textEmbedder.embed(textData);

For more information, refer to the Text Embedder documentation.

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