0.10.16 • Published 9 months ago

@mediapipe/tasks-text v0.10.16

Weekly downloads
-
License
Apache-2.0
Repository
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Last release
9 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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