HuggingFace

Running HuggingFace DeepSeek V2 on Single Node A800

by
Running HuggingFace DeepSeek V2 on Single Node A800

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

Hugging Face’s Experiments on Effective Tricks for Multimodal Large Models

by
Hugging Face's Experiments on Effective Tricks for Multimodal Large Models

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

HuggingFace Teaches You How to Build SOTA Visual Models

by
HuggingFace Teaches You How to Build SOTA Visual Models

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

HuggingGPT: Automatically Calling Models Based on User Needs

by
HuggingGPT: Automatically Calling Models Based on User Needs

HuggingGPT, developed by Zhejiang University and Microsoft Research Asia, also known as JARVIS, can automatically analyze the required AI models based on the user’s natural language description and directly call the corresponding models on Huggingface to provide a solution for the user. 1. Workflow of HuggingGPT The workflow consists of four stages: Task Planning:ChatGPT parses … Read more

HuggingGPT: A ChatGPT Controller for All AI Models

by
HuggingGPT: A ChatGPT Controller for All AI Models

The Ultimate Combination: HuggingFace + ChatGPT — HuggingGPT is here! Source | Quantum Bit Just give it an AI task, such as “What animals are in the picture below, and how many of each are there?” It can automatically analyze which AI models are needed, and then directly call the corresponding models from HuggingFace to … Read more