Transformers Github, This is the first major release in five

Transformers Github, This is the first major release in five years, and the release is significant: 800 commits have been pushed to main since the latest minor release. Apr 7, 2020 · The Transformer (which will be referred to as “vanilla Transformer” to distinguish it from other enhanced versions; Vaswani, et al. Transformers. 8k Star 156k 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. These models support common tasks in different This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows". - transformerlab/transformerlab-app Transformer: PyTorch Implementation of "Attention Is All You Need" - transformer/models at master · hyunwoongko/transformer Explore and discuss issues related to Hugging Face's Transformers library for state-of-the-art machine learning models on GitHub. Transformer # class torch. Its aim is to make cutting-edge NLP easier to use for everyone. An editable install is useful if you’re developing locally with Transformers. Dec 24, 2025 · 💬 Community & Support GitHub Issues: Report bugs or request features WeChat Group: See archive/WeChatGroup. The project now focuses on the two core modules above for better modularity and maintainability. TRL - Transformer Reinforcement Learning A comprehensive library to post-train foundation models 🎉 What's New OpenEnv Integration: TRL now supports OpenEnv, the open-source framework from Meta for defining, deploying, and interacting with environments in reinforcement learning and agentic workflows. A concise but complete full-attention transformer with a set of promising experimental features from various papers - lucidrains/x-transformers Sentence Transformers: Embeddings, Retrieval, and Reranking This framework provides an easy method to compute embeddings for accessing, using, and training state-of-the-art embedding and reranker models. Run 🤗 Transformers directly in your browser, with no need for a server! huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 31. - Commits · huggingface/ This repository contains demos I made with the Transformers library by HuggingFace. AltCLIP (from BAAI) released with the paper AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities by Chen, Zhongzhi and Liu, Guang and Zhang, Bo-Wen and Ye, Fulong and Yang, Qinghong and Wu, Ledell. png 📦 KT original Code The original integrated KTransformers framework has been archived to the archive/ directory for reference. 🤗 Transformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, question answering, summarization, translation, text generation and more in over 100 languages.

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