LM Studio is the simplest way to support local open-source large language models. It is plug-and-play, requires no coding, is very simple, and has a beautiful interface. Today, I will introduce this application. 1. What Can LM Studio Do? 🤖 Run LLM completely offline on a laptop 👾 Use models via in-app chat UI or … Read more
Hello everyone! Today I want to reveal an AI gem in the Python world——Hugging Face’s transformers library! This library is like having a legion of AI assistants, specifically designed to call various top AI models. Using transformers is simply the Swiss Army knife of AI development! Come on, let’s explore the magical charm of the … Read more
Recently, Hugging Face has a very popular book titled “nlp-with-transformers”, and we will be updating practical tutorials related to transformers, so let’s get hands-on learning! Original text: https://www.oreilly.com/library/view/natural-language-processing/9781098103231/ch01.html Warning ahead, there will be a strong flavor of translation, so please enjoy while it’s fresh. Hello Transformers In 2017, researchers at Google published a paper proposing … Read more
Reporting by Machine Heart Editor: Zhao Yang Fine-tuning large language models has always been easier said than done. Recently, Hugging Face’s technical director, Philipp Schmid, published a blog that details how to fine-tune large models using libraries and FSDP and Q-Lora available on Hugging Face. We know that open-source large language models like Llama 3 … Read more
Data Digest authorized reprint from Xi Xiaoyao’s Cute Selling House Author: iven From GPT-3 to prompts, more and more people have discovered that large models perform very well under zero-shot learning settings. This has led to increasing expectations for the arrival of AGI. However, one thing is very puzzling: In 2019, T5 discovered through “hyperparameter … Read more
Please clickBlue Text, please give a follow! In the digital age, Text-to-Speech (TTS) technology has become a part of our daily lives. Whether it’s smart assistants, voice navigation, or accessibility services, high-quality speech synthesis technology continuously enhances our user experience. Today, I want to introduce an exciting open-source project—Parler-TTS, launched by Hugging Face, which aims … Read more
Xi Xiaoyao Technology Says Original Author | Xie Nian Nian When constructing multimodal large models, there are many effective tricks, such as using cross-attention mechanisms to integrate image information into language models or directly combining image hidden state sequences with text embedding sequences as inputs to the language model. However, the reasons why these tricks … Read more
Introduction In this article, I will explore a common practice in representation learning—using the frozen states of pre-trained neural networks as feature extractors. Specifically, I am interested in comparing the performance of simple models trained using these extracted neural network features with that of fine-tuned neural networks initialized with transfer learning. The intended audience is … Read more
This Article Covers The main contents of this article include: What is Hugging Face and what does it offer Using Hugging Face models (Transformers library) Using Hugging Face datasets (Datasets library) Introduction to Hugging Face Similar to GitHub, Hugging Face is a hub (community). It can be considered the GitHub of the machine learning world. … Read more
You may have heard of the concept of word embedding, which represents semantics using numerical vectors. The closer the numerical vectors are, the more similar the corresponding statements or words are in meaning. LlamaIndex also uses embeddings to represent documents. The embedding model takes text as input and returns a long string of numbers that … Read more