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
↑ ClickBlue Text Follow the Jishi Platform Source丨Quantum Bit Jishi Guide Choosing the right architecture is crucial for developing visual large models.>> Join the Jishi CV technology exchange group to stay at the forefront of computer vision With OpenAI’s GPT-4o leading the way and Google’s series of powerful models following, advanced multimodal large models are … 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
Huggingface has added a visualization feature for GGUF files, allowing users to directly view the model’s metadata and tensor information from the model page. All these features are performed on the client side. GGUF (GPT-Generated Unified Format) is a binary large model file format that allows for fast loading and saving of GGML models. It … 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
MLNLP community is a well-known machine learning and natural language processing community at home and abroad, covering domestic and foreign NLP master’s and doctoral students, university teachers, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and … 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
Kleisi from Aofeisi Quantum Bit | WeChat Official Account QbitAI With OpenAI’s GPT-4o and Google’s series of powerful models, advanced multimodal large models have been making waves. Other practitioners, while shocked, have once again begun to ponder how to catch up with these super models. At this time, a paper by HuggingFace and Sorbonne University … Read more