Open source alternatives to transformers
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
More AI Skills apps
modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context
netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About transformers
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.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/transformers