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I currently have the latest nsfw_model found at https://github.com/GantMan/nsfw_model/releases/tag/1.1.0 and am trying to load it as a local file like so:
const model = await nsfw.load('file://' + __dirname + '/mobilenet_v2_140_224/web_model_quantized/');However this results in the following error:
(node:28129) UnhandledPromiseRejectionWarning: Error: layer: Improper config format: (LARGE JSON OBJECT HERE).
'className' and 'config' must set.
I tried the solution found in #397, specifically this comment, however when running npm install @tensorflow/tfjs@^1.7.4 I get:
npm ERR!
npm ERR! code ERESOLVE
npm ERR! ERESOLVE unable to resolve dependency tree
npm ERR!
npm ERR! Found: @tensorflow/tfjs@1.7.4
npm ERR! node_modules/@tensorflow/tfjs
npm ERR! @tensorflow/tfjs@"^1.7.4" from the root project
npm ERR!
npm ERR! Could not resolve dependency:
npm ERR! peer @tensorflow/tfjs@"^3.1.0" from nsfwjs@2.4.0
npm ERR! node_modules/nsfwjs
npm ERR! nsfwjs@"^2.4.0" from the root project
npm ERR!
npm ERR! Fix the upstream dependency conflict, or retry
npm ERR! this command with --force, or --legacy-peer-deps
npm ERR! to accept an incorrect (and potentially broken) dependency resolution.
npm ERR!
npm ERR! See /home/jon/.npm/eresolve-report.txt for a full report.
npm ERR! A complete log of this run can be found in:
npm ERR! /home/jon/.npm/_logs/2021-05-07T15_30_17_117Z-debug.logcode ERESOLVE
Running npm install @tensorflow/tfjs@^1.7.4 --force works to install that version but then the load function fails to load a local file, saying only absolute URLs are supported
@tensorflow/tfjs-node: ^3.6.1
nsfwjs: ^2.4.0
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