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20 Transformers.js alternatives

Transformers.js: Run machine learning models directly in the browser or Node with Transformers.js — no inference server required. 20 agent skills do similar work, most sharing Inference, Hugging Face and JavaScript, ranked by how much they have in common with Transformers.js.

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  1. by Hugging Face

    Choose and run the right local model with llama.cpp and GGUF — quantisation, hardware fit, and local serving.

    Also: Hugging Face, Inference

  2. by Deno

    Deno's official foundational skill — project setup, package choices, configuration, and CLI commands done the current way.

    Also: JavaScript, TypeScript

  3. by Cloudflare

    Audits Core Web Vitals through the Chrome DevTools MCP server — LCP, INP, CLS plus FCP, TBT and Speed Index — and traces each one back to the render-blocking resource or layout shift causing it.

    Also: Browser

  4. by GreenSock

    GreenSock's official skill for the GSAP core engine — tweens, eases, staggers, defaults and responsive/reduced-motion animation via matchMedia.

    Also: JavaScript

  5. by Grafana Labs

    Grafana's official k6 skill: generate a load, stress, spike or soak test from a plain-language brief, then actually run the script before handing it over.

    Also: JavaScript

  6. by Hugging Face

    Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.

    Also: Hugging Face

  7. by Hugging Face

    Fine-tune language and vision models with TRL or Unsloth — supervised, preference, and reinforcement training methods.

    Also: Hugging Face

  8. by Hugging Face

    Deploy and maintain applications on Hugging Face Spaces — SDK choice, GPU hardware, model loading, and debugging.

    Also: Hugging Face

  9. by Hugging Face

    Hugging Face's official CLI skill — download, upload, and manage models, datasets, Spaces, and Jobs from the terminal.

    Also: Hugging Face

  10. by NVIDIA

    Trains, distils, quantises, evaluates, exports and runs inference for RT-DETR real-time object detection in NVIDIA TAO, routing training through AutoML hyperparameter search by default.

    Also: Inference

  11. by NVIDIA

    Inspects the host's hardware, OS, CUDA driver and existing tooling, recommends one Holoscan SDK install method with a reason, then hands off to the matching install skill.

    Also: Inference

  12. by NVIDIA

    Runs NVIDIA's NV-Reason-CXR-3B chest X-ray reasoning model through a documented wrapper, locally on GPU or via the public Hugging Face Space, and returns the model's full reasoning trace as engineering evidence.

    Also: Inference

  13. by Replicate

    Replicate's official skill for running models via its API — predictions, polling, Prefer: wait, webhooks with signature validation, streaming and file handling.

    Also: Inference

  14. by NVIDIA

    Turns a plain-language weather question into a working Earth2Studio inference script — picks the AI forecast model, a compatible data source, an IO backend, and the step count.

    Also: Inference

  15. by NVIDIA

    NVIDIA's official skill for deploying and operating Nemotron Speech (Riva) NIMs — ASR, text-to-speech and translation, cloud-hosted or self-hosted on your own GPUs.

    Also: Inference

  16. by NVIDIA

    NVIDIA's official skill for generating and validating runnable gst-launch DeepStream pipelines from a plain-language description of the video inference you want.

    Also: Inference

  17. by Anthropic

    Authoritative reference for the Claude API and Anthropic SDKs — model IDs, pricing, parameters, streaming, tool use, MCP, agents, prompt caching, and token counting.

    Also: Inference

  18. by AMD

    AMD's official skill for CPU inference: brings up a single vLLM + zentorch endpoint on an EPYC server, sized to the socket it runs on.

    Also: Inference

  19. by AMD

    AMD's official skill for standing up a vLLM endpoint on Instinct MI300X/MI325X/MI350X/MI355X GPUs — detection, recipe lookup, launch and health check in one flow.

    Also: Inference

  20. by NVIDIA

    Picks the right vLLM or SGLang runtime for your Jetson generation and JetPack version, then produces a working OpenAI-compatible serving command.

    Also: Inference