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huggingface/transformers — GitHub trending stats & insights | Trendshift
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huggingface/transformers
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Computer vision
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NLP
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AI video generation
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Audio processing
🤗 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.
Python
161.2k
33.3k
3,800 contributors
Apache License 2.0
website
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Top 25 terms every AI Engineer must know right now: Core Architecture & Systems 1. Foundational Tech: Transformers: 2. Next-Gen Architecture: State Space Models (SSMs): 3. MoE Routing: Mixture of…
@Alacritic_Super · x.com
Supercharge your AI projects! Transformers from Hugging Face is the framework for state-of-the-art ML across text, vision, audio, and multimodal models. Train, infer, innovate! #MachineLearning #AI
@I_am_m_o_b · x.com
Become a Generative AI Engineer for Free – Ultimate GitHub Resource Guide Foundations & Programming 1- – Comprehensive AI paths including Generative AI tracks. 2- – Hub for research, notebooks,…
@AvinashSingh_20 · x.com
5月开源AI圈集体升版本号:LangChain 1.0落地了稳定API和多模型编排,LlamaIndex 1.0检索速度涨了40%,Transformers 5.0加了原生MoE和动态上下文卸载。三个框架同月发大版,开发者工具链终于能用了。🔗
@ItsPipiYa · x.com
🚀 Hugging Face Transformers is the one library for state-of-the-art models across text, vision, audio, and multimodal. Train or run inference on thousands of pretrained models with a single API.…
@prompt48 · x.com
Most people learn machine learning like this: «random YouTube videos half-finished notebooks outdated tutorials bookmark chaos» That’s a terrible way to build real depth. This repo is a much better…
@RoyAmal · x.com
Transformers 16 万+ stars,很多人只知道它是模型库。 但对普通 AI 工具用户来说,它更像一个信号: 如果一个工具依赖模型生态,文档、模型卡、推理方式、版本兼容都要看。 别只看 demo,先看模型能不能稳定跑。 入口:
@Terryg5ix · x.com
41. RAG系统 42. 向量数据库 43. 可扩展数据库 44. 快速搜索 45. 本地数据库 46. Redis向量 47. AI搜索 48. 大规模搜索 49. 即时搜索 50. Pinecone用法 51. 提示词测试 52. 评估框架 53. 可观测性 54. 提示词管理 55. 安全输出 56. 评估系统 57. 提示词工具 58. 提示词示例 59. 完整指南 60. 部署提示词…
@AIExplorerTim · x.com
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