🔍 Discover the secret of tokenization! 🔑 I reveal you the mysteries of BPE (Byte Pair Encoding) tokenization, one of the most popular and effective methods to split text into tokens. Learn how to to tokenize with BPE! 💻 Read my post and discover the tips and tricks to master tokenization with BPE! 📄
Unlock the power of language!!!! 💥 In my last post, I take you by the hand through the GPT-1 paper, explaining in a clear and concise way how this pioneer model in natural language processing works. And not only that! I also show you how to fine-tuning the model so you can adapt it to your specific needs 📊 Don't miss the opportunity to learn about one of the most influential models in history! 🚀 Read my post and find out how you can improve your artificial intelligence skills! 📄
Attention, slow PyTorch models! 🐌 Optimun, the Hugging Face library, comes to the rescue to speed up your workouts and inferences. With Optimun, you can forget about speed issues and enjoy more speed and efficiency 🕒️. And best of all, it's PyTorch compatible - go on, give your models a boost with Optimun! 💻
🏃 Run any LLM on your computer, whether it is a NASA spacecraft 🚀 or a coffee maker 🫖. With Ollama you have the facility to use any language model as if you were using docker 🐳. Moreover, as the models are quantized 📥, they will fit in memory 🧠 and they will go very fast 🚄
🚀 Parallelizing AI models has never been easier! 🤩 With Accelerate, you can say goodbye to endless training times ⏰ and hello to efficiency 💻. With just a few lines of code, you can automatically distribute the training of your models across multiple GPUs or CPUs, which can drastically reduce training times ⏱️, improve efficiency 💸 and don't need huge GPU memories 🙅♂️. And best of all: you can also parallelize inference! 🤯 This means you can process LLMs in real time, without your model getting stuck. So what are you waiting for, speed up your training with Accelerate!
Forget sleepless nights calculating metrics and losing your mind with evaluate for your NLP models! 😩 Hugging Face's evaluate library is the answer to your prayers, allowing you to evaluate the performance of your models easily and quickly 🚀. With evaluate, you can say goodbye to manual calculations and hello to full automation 🤗 leaving you more time to focus on what really matters 🤔: improving your models and revolutionizing the world of AI 💻
Wake up, AI developer! ☕️ Stop wasting your time loading and preprocessing data like a slave 🙅♂️ and discover Hugging Face's datasets library, the solution to all your NLP problems (and some of your life problems, too). With datasets, you can access a collection of high-quality datasets that will make you forget you ever had to deal with CSVs and pandas 🐼 So don't lag behind, upgrade your skills and enter the 21st century of AI with datasets! 💥
🤖 Transform your world with Hugging Face Transformers! 🚀 Ready to make magic with natural language? From super-fast techniques with pipeline 🌪️ to ninja tricks with AutoModel 🥷, this post takes you by the hand on an epic adventure into the NLP universe. Explore how to generate text that surprises, train models that dazzle, and share your creations on the Hugging Face Hub like a pro. Get ready to code and laugh, because the future of NLP is now and it's hilarious! 😂
📄 ➡️ 🔤 Explore the power of the Hugging Face Tokenizers library for natural language processing in AI. Discover how this essential tool transforms text into structured data, optimizing AI model training with practical examples and Python code. Dive into the future of NLP with our expert guide.
