Stable Diffusion XL with T2I-Adapter and ControlLoRA - Tutorial and Demo
Master advanced image generation techniques using SDXL with T2I adapters and ControlLoRA, featuring hands-on demonstrations and practical implementations for enhanced AI art creation.
Fine-tuning FLAN-T5 Models for Text Summarization with PyTorch
Master Flan-T5 model fine-tuning for text summarization through hands-on PyTorch implementation, complete with practical code examples and real-time demonstrations.
Fine-tuning T5 LLM for Text Generation and Summarization - Complete Tutorial
Master T5 LLM fine-tuning techniques for text summarization through hands-on coding in Google Colab, using practical examples and real-time implementation with Hugging Face.
Best Datasets for LLMs - How to Choose and Create Your Own
Discover how to select and create optimal datasets for fine-tuning Large Language Models, with practical guidance on using Hugging Face's resources and understanding data structures.
Running Flan-T5-XL Model on Google Colab - A Free Self-Explaining Language Model
Discover how to implement and optimize the Flan-T5-XL language model on Google Colab, exploring its capabilities in reasoning, essay writing, and translation tasks while working within free resource constraints.
Building a FLAN-T5 XL Model GUI with Gradio in Google Colab - A Step-by-Step Tutorial
Learn to build a Gradio GUI for FLAN-T5-XL model on Google Colab, enabling free text generation, summarization, and translation capabilities with minimal computational resources and step-by-step implementation.
Learning Vision Transformer (ViT) Technology: Research Methods and Resources - 2023
Discover effective strategies for learning and implementing Vision Transformer technology through top academic resources, code repositories, and research platforms like HuggingFace and Papers with Code.
PyTorch Vision Transformer: Applying Pre-trained and Fine-tuned ViT Models for Image Classification
Master Vision Transformer implementation in PyTorch using pre-trained and fine-tuned ViT models for image classification, with hands-on practice in Google Colab and Huggingface integration.
Optimizing LLM Fine-Tuning with PEFT and LoRA Adapter-Tuning for GPU Performance
Master efficient fine-tuning of large language models using PEFT and LoRA techniques, optimizing GPU memory usage through INT8 quantization and adapter-tuning for cost-effective model development.
How to Fine-tune T5 and Flan-T5 Large Language Models - Theory Introduction
Discover the fundamentals of fine-tuning T5 and Flan-T5 language models, exploring key differences, implementation steps, and practical applications using Hugging Face transformers.
Fine-Tuning Code Language Models - A Practical Guide
Master the process of fine-tuning Code LLMs using instruction datasets, from environment setup to implementation, with hands-on demonstrations using StarCoder and practical GPU requirements guidance.
Hugging Face Agents — First Look
Explore Hugging Face's new LLM Agents: easy-to-use, multi-modal AI tools integrated with HF's vast model hub. Learn implementation, querying, and potential applications in this comprehensive overview.
Productionize AI and ML Algorithms in Cloud Environments
Explore AI and ML algorithm productionization in cloud environments. Learn development phases, NLP tasks, Hugging Face, MLflow, and AWS deployment for effective model management and serving.
Stable Diffusion Google Colab - Continue, Directory, Transfer, Clone, Custom Models, CKPT SafeTensors
Learn to use Google Colab for Stable Diffusion: set up, train models, generate images, transfer projects, use custom files, and integrate with Hugging Face. Explore advanced techniques for AI image generation.
Masked Language Modelling - Retraining BERT with Hugging Face Trainer - Coding Tutorial
Practical guide to retraining BERT for masked language modeling using Hugging Face Trainer on the Microsoft Research Sentence Completion Challenge, with step-by-step Python implementation and performance evaluation.
Masked Language Modelling with Hugging Face - Microsoft Sentence Completion - Coding Tutorial
Practical guide to applying Hugging Face language models for sentence completion, covering masked language modeling, data inspection, model application, and performance evaluation.
YouTube Video Transcript Summarizer - Hugging Face Speech-to-Text ASR - Video Summarizer Project
Learn to build a YouTube video summarizer using Python, Hugging Face ASR, and text summarization techniques. Covers audio extraction, speech-to-text conversion, and transcript summarization with live demo.
What Is Hugging Face - Crash Course - ML Products for Beginners
Comprehensive overview of Hugging Face's ML ecosystem, covering its company background, key products, and tools for NLP and machine learning, suitable for beginners without coding.
Guidance: A Language for LLM Prompt Design
Tutorial on Guidance, an open-source project for controlling language models effectively. Learn to create better interfaces between prompts and outputs, applicable to various LLMs including GPT and open-source models.
LLaMA2 - What Are the Changes?
Explore the advancements in LLaMA2, including new base models, performance comparisons, and insights into its development and deployment on various platforms.
Replace ANYTHING with Stable Diffusion AI InPainting Tool Using Gradio
Learn to create an AI in-painting tool using Hugging Face Gradio and Diffusers, enabling you to replace any element in an image with Stable Diffusion technology.