What is ipfs_transformers_js?

48/100
Trust Score (D)
⚠️ Use Caution

ipfs_transformers_js is a npm that This is a model manager and wrapper for huggingface, looks up a index of models from an collection of models, and will download a model from either https/s3/ipfs, depending on which source is the fast. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by endomorphosis. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What ipfs_transformers_js Does

ipfs_transformers_js is a npm in the npm category. This is a model manager and wrapper for huggingface, looks up a index of models from an collection of models, and will download a model from either https/s3/ipfs, depending on which source is the fastest.. It is published by endomorphosis and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ipfs_transformers_js

ipfs_transformers_js is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorendomorphosis
Categorynpm
LicenseNot specified
Typenpm
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=ipfs-transformers-js

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is ipfs_transformers_js used for?
ipfs_transformers_js is a npm tool. This is a model manager and wrapper for huggingface, looks up a index of models from an collection of models, and will download a model from either https/s3/ipfs, depending on which source is the fast.
Is ipfs_transformers_js free?
License: Check project page. ipfs_transformers_js has 0 GitHub stars.
Is ipfs_transformers_js safe?
ipfs_transformers_js has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to ipfs_transformers_js?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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