Sempre Health 如何利用 Hugging Face 專家加速計畫（EAP）推進其機器學習發展藍圖
Hugging Face Blog1,487 days agoBusinessSempre Health is a healthcare technology company dedicated to improving patient medication adherence and drug affordability. They primarily interact with…
機器學習專家專訪：Hugging Face 工程師與《Transformers》暢銷書作者 Lewis Tunstall
Hugging Face Blog1,523 days agoOpinionIn this installment of Hugging Face's "Machine Learning Experts" interview series, the spotlight is on Lewis Tunstall, a senior machine learning engineer at…
Hugging Face 的設計哲學：為什麼我們反其道而行，選擇「重複程式碼」？★ 85
Hugging Face Blog1,531 days agoOpinionThis classic blog post from Hugging Face examines the tension between software engineering principles and the demands of machine learning (ML) research…
使用 🤗 Transformers 微調 ViT 進行影像分類教學★ 70
Hugging Face Blog1,584 days agoTutorialThis is an official tutorial article from Hugging Face that guides developers on how to fine-tune a Vision Transformer (ViT) model for image classification…
使用 Python 進行情緒分析入門指南：從 Pipeline 到微調模型
Hugging Face Blog1,593 days agoTutorialThis is a practical tutorial guide written by Hugging Face, designed to help developers and data scientists quickly get started with sentiment analysis using…
在 🤗 Transformers 中使用 Wav2Vec2 處理超長音檔的自動語音辨識 (ASR)
Hugging Face Blog1,594 days agoTutorialIn the field of automatic speech recognition (ASR), Wav2Vec2 is a revolutionary model, but it faces a significant challenge when processing long audio files…
使用 Optimum 在 Graphcore IPU 上快速上手 Hugging Face Transformers
Hugging Face Blog1,657 days agoTutorialThis blog post introduces the fruits of a collaboration between Hugging Face and hardware chip design company Graphcore, showcasing how to use Hugging Face's…
Hugging Face 課程發布社群活動 (Course Launch Community Event)
Hugging Face Blog1,692 days agoReleaseThis announcement comes from the official Hugging Face blog, published in October 2021, celebrating the launch of the Hugging Face Course along with an…
Hugging Face 與 Graphcore 達成合作，推出針對 IPU 優化的 Transformers 模型
Hugging Face Blog1,734 days agoReleaseIn September 2021, Hugging Face, the leading open-source AI community, and British AI chip design company Graphcore announced a strategic partnership aimed at…
Hugging Face 推出 Optimum：專為大規模 Transformer 模型打造的硬體加速與優化工具包★ 75
Hugging Face Blog1,734 days agoReleaseHugging Face has officially launched a new open-source toolkit called "Optimum" — an optimization and hardware acceleration library designed specifically for…
使用 Amazon SageMaker 輕鬆部署 Hugging Face 模型
Hugging Face Blog1,802 days agoReleaseHugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine learning models from…
深入理解 BigBird 的區塊稀疏注意力機制 (Block Sparse Attention)
Hugging Face Blog1,901 days agoTutorialTraditional Transformer models (such as BERT) are constrained by the quadratic complexity $O(N^2)$ of their self-attention mechanism, and are typically limited…
Amazon SageMaker 與 Hugging Face 宣布深度合作：簡化企業級 NLP 模型訓練與部署★ 75
Hugging Face Blog1,909 days agoBusinessHugging Face has officially announced a deep partnership with Amazon Web Services (AWS), aimed at natively integrating the Hugging Face Transformers platform…
Hugging Face 讀書會：長文本 Transformer 模型技術解析與演進
Hugging Face Blog1,923 days agoCommentaryIn the field of natural language processing (NLP), the core of standard Transformer models (such as BERT and GPT-2) is the self-attention mechanism. However…
使用 Hugging Face Transformers 與 Ray 實現大規模檢索增強生成 (RAG)
Hugging Face Blog1,950 days agoTutorialRetrieval-Augmented Generation (RAG) is a powerful architecture that combines a "retriever" with a "generator." It enables language models to dynamically…
Hugging Face Transformers 中的 TensorFlow 模型加速與 TF Serving 部署指南
Hugging Face Blog1,965 days agoTutorialWhen deploying Transformer models in production environments, latency and throughput are often the deciding factors for a project's success. Hugging Face…
Hugging Face 如何為 API 客戶將 Transformer 推理速度提升 100 倍
Hugging Face Blog1,973 days agoReleaseIn this technical blog post, the Hugging Face team reveals in detail how they achieved up to 100x speedup in inference for Transformer models for customers of…
利用預訓練語言模型權重「熱啟動」Encoder-Decoder 模型
Hugging Face Blog2,043 days agoTutorialIn the field of natural language processing (NLP), sequence-to-sequence (Seq2Seq) models — such as those used for translation or summarization — typically…
將 Fairseq WMT19 翻譯系統移植至 Hugging Face Transformers
Hugging Face Blog2,049 days agoReleaseIn the field of natural language processing (NLP), machine translation has always been a core challenge. Facebook AI Research (FAIR) achieved outstanding…
使用 Transformers 與 Ray Tune 進行超參數搜尋
Hugging Face Blog2,050 days agoTutorialThis classic article from the official Hugging Face blog provides a detailed guide on how to integrate Hugging Face's `Transformers` library with the powerful…
Transformer 架構下的編碼器-解碼器（Encoder-Decoder）模型深度解析★ 70
Hugging Face Blog2,073 days agoTutorialThis classic blog post written by Hugging Face researcher Patrick von Platen takes a deep dive into the Transformer-based Encoder-Decoder model architecture…
如何生成文本：在 Transformers 中使用不同的解碼方法進行語言生成★ 85
Hugging Face Blog2,296 days agoTutorialThis classic technical blog post written by Hugging Face takes an in-depth look at how to select and tune different "decoding methods" when performing…