HuggingFace Teaches You How to Create SOTA Vision Models

HuggingFace Teaches You How to Create SOTA Vision Models

↑ 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

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

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’s Experiments on Effective Tricks for Multimodal Models

HuggingFace's Experiments on Effective Tricks for Multimodal Models

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

HuggingFace Teaches You How to Build SOTA Visual Models

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