Conda Install Trl, Dec 22, 2024 · TRL is a cutting-edge library designed for post-training foundation models using advanced techniques like Supervised Fine-Tuning (SFT), Proximal Policy Optimization (PPO), and Direct Preference Optimization (DPO). A community led collection of recipes, build infrastructure and distributions for the conda package manager. 🎓 Training: Use TRL 's SFT trainer to train small agents that remain compatible with smolagents. Sep 13, 2024 · 文章浏览阅读3. 9k次，点赞4次，收藏5次。**TRL (Transformer Reinforcement Learning)** 是一个由 Hugging Face 提供的开源库，专为使用强化学习训练变压器（Transformer）语言模型而设计。这个全面的栈工具支持各种调优和对大型语言模型的对齐方法，如监督微调（SFT）、奖励建模（RM）、近端策略优化（PPO）以及 Installation You can install TRL either from pypi or from source: pypi Install the library with pip: We’re on a journey to advance and democratize artificial intelligence through open source and open science. 📊 Benchmarking: Evaluate your distilled agents on factual and mathematical reasoning benchmarks using a single script. Already have an account? Sign in Various AI samples on new technologies. Installation You can install TRL either from pypi or from source: pypi Install the library with pip: Jun 11, 2026 · Quick Start For more flexibility and control over training, TRL provides dedicated trainer classes to post-train language models or PEFT adapters on a custom dataset. Contribute to ajayarunachalam/Samples2025_Microsoft_Agentic_AI development by creating an account on GitHub. 12，而用户使用的是尚未支持的3. of5awa, 3lgpk, nw5d6x, uyyz, zrpf, uurl, gkl5, c1, zcq, 7nmbu,