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fetch-wechat
Advanced tools
Fetch polyfill for WeChat mini program platform to work with TensorFlow.js.
TensorFlow.js allow you to load models served by HTTPs server. There are two model loading APIs
Both of which requires a fetch API exposed on the global scope or provided as part of the loadOption field.
The library is essentially a wrapper of wx.request API that simulates the fetch API. This is inspired by wxapp-fetch, with simpler code base and support of arraybuffer function.
Code example:
import { fetchFunc } from 'wechat_fetch';
const model = await tf.loadGraphModel(
'https://model.url.com/model.json', {fetchFunc: fetchFunc()});
FAQs
browser fetch polyfill for wechat mini program platform
The npm package fetch-wechat receives a total of 7 weekly downloads. As such, fetch-wechat popularity was classified as not popular.
We found that fetch-wechat demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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