transformers | BestHub

Rare Earth Juejin Tech Community

Feb 12, 2025 · Frontend Development

UnoCSS Installation, Basic Usage, Presets, Transformers, and Common Tips

This article provides a comprehensive guide to UnoCSS, covering installation in Vue 3 + Vite and Nuxt 3 projects, basic syntax and interactive documentation, Iconify SVG integration, various presets and transformers, as well as practical shortcuts, responsive design, safelist handling, custom rules, theming, and dark‑mode support.

CSS UtilityNuxtPresets

0 likes · 22 min read

UnoCSS Installation, Basic Usage, Presets, Transformers, and Common Tips

DaTaobao Tech

Nov 13, 2024 · Artificial Intelligence

Understanding Neural Networks and Transformers: Principles, Implementation, and Applications

The article surveys neural networks from basic neuron operations and loss functions through deep architectures to the Transformer model, detailing embeddings, positional encoding, self‑attention, multi‑head attention, residual links, and encoder‑decoder design, and includes PyTorch code examples for linear regression, translation, and fine‑tuning Hugging Face’s MiniRBT for text classification.

AINLPPyTorch

0 likes · 44 min read

Understanding Neural Networks and Transformers: Principles, Implementation, and Applications

AntTech

Nov 13, 2024 · Artificial Intelligence

Nimbus: Secure and Efficient Two‑Party Inference for Transformers

The article introduces Nimbus, a novel two‑party privacy‑preserving inference framework for Transformer models that accelerates linear‑layer matrix multiplication and activation‑function evaluation through an outer‑product encoding and distribution‑aware polynomial approximation, achieving 2.7‑4.7× speedup over prior work while maintaining model accuracy.

Privacy-Preserving AIcryptographysecret sharing

0 likes · 6 min read

Nimbus: Secure and Efficient Two‑Party Inference for Transformers

DaTaobao Tech

May 27, 2024 · Artificial Intelligence

Sampling Strategies for Large Language Models: Greedy, Beam, Top‑K, Top‑p, and Temperature

The article explains how greedy search, beam search, Top‑K, Top‑p (nucleus) sampling, and temperature each shape large language model generation, comparing their effects on repetition, diversity, and creativity, and provides concise TensorFlow‑based code examples illustrating these inference‑time strategies.

AIGenerationLLM

0 likes · 15 min read

Sampling Strategies for Large Language Models: Greedy, Beam, Top‑K, Top‑p, and Temperature

Rare Earth Juejin Tech Community

Dec 15, 2023 · Artificial Intelligence

AIGC Tutorial: Tokenization, POS Tagging, and Named Entity Recognition with Transformers, NLTK, and spaCy

This tutorial introduces AIGC concepts and walks through practical implementations of tokenization, part‑of‑speech tagging, and named entity recognition using the Transformers library, NLTK, and spaCy on Google Colab, complete with code snippets and visual results.

AIGCNLPNLTK

0 likes · 10 min read

AIGC Tutorial: Tokenization, POS Tagging, and Named Entity Recognition with Transformers, NLTK, and spaCy

Rare Earth Juejin Tech Community

Jul 22, 2023 · Artificial Intelligence

Building an Image Classification Model with Transformers and TensorFlow: Theory, Code, and Practice

This article explains how to leverage computer‑vision techniques and deep‑learning frameworks such as Transformers and TensorFlow to build a complete image‑classification pipeline, covering the underlying RGB and CNN principles, model architecture, data preparation, training, and inference with runnable Python code.

CNNPythonTensorFlow

0 likes · 15 min read

Building an Image Classification Model with Transformers and TensorFlow: Theory, Code, and Practice

Architect

Jul 1, 2023 · Artificial Intelligence

Comprehensive Guide to Text Generation Decoding Strategies with HuggingFace Transformers

This tutorial explores various text generation decoding methods—including greedy search, beam search, top‑k/top‑p sampling, sample‑and‑rank, and group beam search—explaining their principles, providing detailed Python code examples, and comparing their use in modern large language models.

HuggingFacebeam searchdecoding strategies

0 likes · 59 min read

Comprehensive Guide to Text Generation Decoding Strategies with HuggingFace Transformers

Tencent Cloud Developer

Jun 1, 2023 · Artificial Intelligence

A Comprehensive Guide to Decoding Strategies for Text Generation with HuggingFace Transformers

This guide thoroughly explains the major decoding strategies for neural text generation in HuggingFace Transformers—including greedy, beam, diverse beam, sampling, top‑k, top‑p, sample‑and‑rank, beam sampling, and group beam search—detailing their principles, Python implementations with LogitsProcessor components, workflow diagrams, comparative analysis, and references to original research.

HuggingFaceNatural Language Processingbeam search

0 likes · 60 min read

A Comprehensive Guide to Decoding Strategies for Text Generation with HuggingFace Transformers

Architect

Apr 24, 2023 · Artificial Intelligence

MOSS 003: Open‑Source Large Language Model Development, Training Data, and Plugin‑Enabled Deployment

The article details the evolution of the open‑source MOSS series—from OpenChat 001 to MOSS 003—covering data collection, fine‑tuning procedures, multilingual capabilities, plugin architecture, example code for inference, and upcoming releases, providing a comprehensive technical overview for AI practitioners.

AIMOSSlarge language model

0 likes · 11 min read

MOSS 003: Open‑Source Large Language Model Development, Training Data, and Plugin‑Enabled Deployment

Architect

Feb 19, 2023 · Artificial Intelligence

Training a Positive Review Generator with RLHF and PPO

This article demonstrates how to apply Reinforcement Learning from Human Feedback (RLHF) using a sentiment‑analysis model as a reward function and Proximal Policy Optimization (PPO) to fine‑tune a language model that generates positive product reviews, complete with code snippets and experimental results.

PPORLHFlanguage model

0 likes · 10 min read

Training a Positive Review Generator with RLHF and PPO

DataFunTalk

Jan 3, 2022 · Artificial Intelligence