huggingface
26 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
huggingfacetransformers-js
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in browsers and server-side runtimes (Node.js, Bun, Deno) with WebGPU/WASM using pre-trained models from Hugging Face Hub.
- installs
- 0
- GitHub stars
- 11.2K
- Updated
- Oct 23
huggingfacetrl-training
Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging training code with the TRL Python API or the trl CLI.
- installs
- 0
- GitHub stars
- 11.2K
- Updated
- Oct 23