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transformers

Free alternatives to transformers

50 free AI Skills apps to use instead, best rated first.

Top picks

  1. W

    webapp-testing

    Launch

    Native Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re

  2. C

    content-research-writer

    Launch

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on

  3. O

    openhue

    Launch

    openhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an

  4. B

    batch-grill-me

    Launch

    batch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now

  5. I

    implement

    Launch

    implement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re

  6. F

    frontend-design

    Launch

    Distinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat

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Design beautiful visual art in .png and .pdf formats using design philosophies

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Transform rough ideas into fully-formed designs through structured questioning

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systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior

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test-driven-development

Use when implementing any feature or bugfix, before writing implementation code

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Create, view, edit, delete, search, move, or export Apple Notes

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apple-reminders

List, add, edit, complete, or delete Apple Reminders and reminder lists

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blogwatcher

Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI

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blucli

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Capture frames or clips from RTSP/ONVIF cameras and local webcams

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eightctl

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gemini

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gh-issues

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gifgrep

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github

GitHub CLI for issues, PRs, CI/check logs, comments, reviews, releases, repos

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gog

Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs

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Query Google Places for text search, place details, resolve, reviews

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healthcheck

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himalaya

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imsg

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mcporter

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nano-pdf

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About transformers

T

transformers

Hugging Face Transformers for loading Hub models, running pipeline inference

transformers is an agent skill for Hugging Face Transformers, which gives access to thousands of pretrained models for NLP, computer vision, audio and multimodal tasks. It covers loading Hub models, running pipeline inference, text generation, and fine-tuning with the Trainer on custom data. The skill targets Transformers 5.18.0, verified against its released source on 1 October 2026, with native CPU checks on Python 3.11, Torch 2.14.1, Datasets 5.0.1, Accelerate 1.15.0, PEFT 0.21.2 and Hub 1.33.0. It recommends a dedicated environment and pins these packages together. It notes that Hub 2.1.1 is newer, but Datasets 5.0.1 requires a Hub version below 2, so upgrading each package on its own can make the training stack impossible to resolve. Optional packages are needed only for particular workflows, such as Pillow for images, librosa and soundfile for audio, FFmpeg for encoded audio files, Tesseract for OCR, and bitsandbytes for quantisation. The skill advises choosing precision or quantisation after reading its model-loading notes. The separate esm SDK currently requires Transformers below 5, so it belongs in another environment.

View transformersAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/transformers