Hugging Face 支援 PyTorch / XLA：在 Google Cloud TPU 上加速 Transformer 模型訓練
Hugging Face Blog1,953 days agoReleaseHugging Face has announced a deep collaboration with Google Cloud, officially adding support for PyTorch/XLA within its ecosystem. The goal is to address the…
透過 DeepSpeed 與 FairScale 的 ZeRO 技術，讓 Hugging Face 訓練容納更多參數且速度更快★ 80
Hugging Face Blog1,974 days agoReleaseAs the parameter scale of Transformer models (such as GPT, T5, etc.) grows exponentially, deep learning faces a severe "Memory Wall" challenge. With limited…
Hugging Face 如何為 API 客戶將 Transformer 推理速度提升 100 倍
Hugging Face Blog1,975 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…
將 Fairseq WMT19 翻譯系統移植至 Hugging Face Transformers
Hugging Face Blog2,051 days agoReleaseIn the field of natural language processing (NLP), machine translation has always been a core challenge. Facebook AI Research (FAIR) achieved outstanding…
Transformer 架構下的編碼器-解碼器（Encoder-Decoder）模型深度解析★ 70
Hugging Face Blog2,075 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 Blog2,298 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…
如何使用 Transformers 和 Tokenizers 從頭開始訓練新的語言模型★ 75
Hugging Face Blog2,314 days agoTutorialThis classic blog post from Hugging Face provides a detailed walkthrough of how to use their open-source ecosystem libraries — `transformers` and `tokenizers`…