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
0x0. Background Trying to run the DeepSeek V2 released on HuggingFace, I encountered several issues. Here are the solutions. The open-source DeepSeek V2 repo link provided by HuggingFace is: https://huggingface.co/deepseek-ai/DeepSeek-V2 0x1. Error 1: KeyError: ‘sdpa’ This issue has also been reported by the community. https://huggingface.co/deepseek-ai/DeepSeek-V2/discussions/3 Insert image description here The solution is quite simple; just … Read more
Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Reprinted from | PaperWeekly ©PaperWeekly Original · Author | Li Luoqiu School | Master’s Student at Zhejiang University Research Direction | Natural Language Processing, Knowledge Graphs This article records my understanding of the code in the HuggingFace open-source Transformers project. As we all … Read more
Pine from Aofeisi Quantum Bit | Official Account QbitAI What can you achieve by training BERT on a single GPU in just one day? Now, researchers have finally done this, exploring the true performance of language models under limited computational conditions. In the past, most professionals focused on the performance of language models under extreme … Read more
Click the card below to follow the WeChat public account “Python for Beginners” Object detection is a core task in computer vision that drives the development of technologies ranging from autonomous vehicles to real-time video surveillance. It involves detecting and locating objects within an image, and recent advances in deep learning have made this task … Read more
AliMei Guide Learn about Transformer, and come write one with the author. As an engineering student, when learning about Transformer, it always feels like understanding is not solid enough unless I write one myself. Knowledge gained from books is often superficial; true understanding requires practice, so take time to debug a few times! Note: No … Read more
This is the fourth translation in the Illustrated Transformer series. The series is authored by Ketan Doshi and published on Medium. During the translation process, I modified some illustrations and optimized and supplemented some descriptions based on the code provided in Li Mu’s “Hands-On Deep Learning with Pytorch”. The original article link can be found … Read more
Training a Stable Diffusion model is a complex and resource-intensive process that typically requires significant computational resources, such as GPUs or TPUs, and can take considerable time. The training process involves multiple steps, including environment setup, data preparation, model configuration, and training parameter adjustment. First, environment setup is the foundation for training a Stable Diffusion … Read more
Getting Started with Comet for ML Experiments Hello everyone, I am an experienced Python tutorial author. Today we will learn how to use Comet to better organize and manage machine learning experiments. Comet is a fantastic tool that helps you track experiment parameters, metrics, model weights, etc., making your machine learning projects well-organized. Let’s get … Read more
Click the above “CVer” to choose to add “Star” or “Pin” Essential content delivered promptly Author: z.defying https://zhuanlan.zhihu.com/p/76459295 This article is authorized by the author, and reprinting is not allowed without permission Table of Contents: Specify GPU ID View details of each layer output of the model Gradient Clipping Expand the dimension of a single … Read more