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transformers

Self-hosted alternatives to transformers

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

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