Recommended by New Intelligence Source: Zhuanzhi (ID: Quan_Zhuanzhi) Editor: Sanshi [New Intelligence Guide] In the field of NLP, various advanced tools have emerged recently. However, practice is the key, and how to apply them to your own models is crucial. This article introduces this issue. Recently in NLP, various pre-trained language models like ELMO, GPT, … Read more
Hugging Face is a chatbot startup based in New York, focusing on NLP technology, with a large open-source community. Especially, the open-source natural language processing and pre-trained model library, Transformers, has been downloaded over a million times and has more than 24,000 stars on GitHub. Transformers provides a large number of state-of-the-art pre-trained language model … Read more
Machine Heart reports Editor: Du Wei The Hugging Face NLP course is now live, and all courses are completely free. Those in the NLP field should be very familiar with the renowned Hugging Face, a startup focused on solving various NLP problems that has brought many beneficial technical achievements to the community. Last year, the … Read more
In recent months, the Tongyi Qianwen team has been working hard to explore how to build a ‘good’ model while optimizing the developer experience. Just before the Chinese New Year, the Tongyi Qianwen team shared the next version of the Qwen open-source series, Qwen 1.5. Qwen 1.5 has open-sourced six sizes of foundational and chat … Read more
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