https://www.chenshaowen.com/en/tags/transformer/Recent content in Transformer on Shaowen Chen's WebsiteHugo -- gohugo.ioen©2016 - {year}, All Rights Reserved.Sun, 09 Feb 2025 00:00:00 +0000weeklyhttps://www.chenshaowen.com/en/blog/structure-of-large-models-with-qwen.htmlSun, 09 Feb 2025 00:00:00 +0000Sun, 09 Feb 2025 00:00:00 +0000https://www.chenshaowen.com/en/blog/structure-of-large-models-with-qwen.html1. Introduction to the Qwen Model In April 2023, Alibaba released the beta version of Qwen. In December 2023, Alibaba open-sourced the first version of Qwen. In September 2024, Alibaba released Qwen2.5. In January 2025, Alibaba released Qwen 2.5-Max. Qwen 2.5 is the latest series of the Qwen large language微信公众号QwenLLMAILearningArchitectureTransformerOpen SourceR&Dhttps://www.chenshaowen.com/en/blog/usage-of-transformers-lib.htmlTue, 22 Aug 2023 00:00:00 +0000Tue, 22 Aug 2023 00:00:00 +0000https://www.chenshaowen.com/en/blog/usage-of-transformers-lib.htmltransformers is a Python library developed by Hugging Face for using and training pretrained Transformer models in natural language processing (NLP) tasks. It provides many powerful tools and features that make working with text data and building NLP models much easier. The library is widely used across a variety of微信公众号TransformerAILLMNLPPythonhttps://www.chenshaowen.com/en/blog/models-and-datasets-on-huggingface.htmlMon, 21 Aug 2023 00:00:00 +0000Mon, 21 Aug 2023 00:00:00 +0000https://www.chenshaowen.com/en/blog/models-and-datasets-on-huggingface.htmlHuggingFace offers shared models, datasets, and hosted spaces, giving AI researchers and developers a complete ecosystem. This article explains how to work with HuggingFace models and datasets. 1. Model Operations and Usage 1.1 Custom Storage Directory 1 export HF_HOME=/Volumes/Data/HuggingFace Otherwise the default is the ~/.cache/huggingface directory. 1.2 Downloading Models The微信公众号TransformerAILLMHuggingFaceDatasetR&D