deep-learning nlp pytorch huggingface-transformers or ask your own question. NLP Collective Join the discussion This question is in a collective: a subcommunity defined by tags with relevant content and experts. The Overflow Blog Mobile Observability: monitoring performance through cracked screens, o...
MONAIis a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem. Its ambitions are: developing a community of academic, industrial and clinical researchers collaborating on a common foundation; ...
⚡ 论文:Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces 摘要:Deepfake换脸检测库、PyTorch 一站式计算机视觉工具箱、Web 界面的动图编辑器、[JAX] 行业驱动的硬件加速强化学习环境、为扫描PDF增加OCR功能、伯克利『全栈深度学习』2022免费课程、谷歌『基于Transformers的通用超参数...
这部分内容主要介绍了两个关键概念:自监督学习(Self-supervised learning, SSL)和自注意力机制(Self-attention),这两个概念是Transformer模型成功的关键因素。 自监督学习 (SSL): 核心概念:自监督学习是训练Transformer模型的基础,它允许模型在没有手动标注的情况下从大规模未标记数据集中学习。 学习过程:通过解决一个...
deep-learning pytorch gpt-2 text-generation Share Improve this question Follow asked Mar 8, 2023 at 12:04 mac179 1,93022 gold badges1919 silver badges2525 bronze badges Add a comment 3 Answers Sorted by: 5 The input for a decoder-only model like GPT is typically...
Hugging Face Transformersis an open-source framework for deep learning created by Hugging Face. It provides APIs and tools to download state-of-the-art pre-trained models and further tune them to maximize performance. These models support common tasks in different modalities, such as natural langua...
With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through ...
You can read it in full on arXiv. Zong, Z., Song, G., & Liu, Y. (Year of Publication). DETRs with Collaborative Hybrid Assignments Training. https://arxiv.org/pdf/2211.12860.pdf. COCO dataset Deep Learning Technology Data Science Computer Vision Transformers -- Written by François ...
In the new paper Tracr: Compiled Transformers as a Laboratory for Interpretability, a research team from ETH Zurich and DeepMind presents Tracr, a compiler that addresses the absence of ground truth explanations in deep neural network models by “compiling” human readable code to the weights of ...
In the rapidly evolving landscape of artificial intelligence and machine learning, one innovation stands out for its profound impact on how we process, understand, and generate data:Transformers. Transformers have revolutionized the field of natural language processing (NLP) and beyond, powering some of...