Hugging Face certainly deserves its reputation as a champion of open source, and it's undoubtedly living up to its mission to be the GitHub of machine learning.
Hugging Face is most notable for its Transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets.This connector is available in the following products and regions:Développer le tableau ServiceClassRegions Logic ...
可以在Hugging Face的网站选择自己想使用的模型 也可以在Pipeline里面指定自己想使用的模型：pipe = pipeli...
二是Hugging Face推理端点上托管的专家模型的不可控状态。Hugging Face上的专家模型可能会受到网络延迟或服...
Summer is now officially over and these last few months have been quite busy at Hugging Face. From new features in the Hub to research and Open Source development, our team has been working hard to empower the community through open and collaborative technology. In this blog post ...
Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering - ToxyBorg/Hugging-Face-Hub-Langchain-Document-Embeddings
This is the 3rd article in a series on using large language models (LLMs) in practice. Here I will give a beginner-friendly guide to the Hugging Face Transformers library.
Five steps to deploy a Panel app to Hugging Face Step 1: https://huggingface.co/spaces Go to https://huggingface.co/spaces and click “Create new Space”Step 2: Create a new space Give it a “Space name”. Here I call it “panel_example”. Select Docker as the Space SDK, and ...
Hugging Face Datasets是一个社区驱动的开源包,用于标准化 NLP 数据集的处理、分发和文档。核心库旨在简单、快速加载并为各种大小的数据集使用相同的界面。它使标准数据集的使用变得容易, 鼓励了跨数据集 NLP 的新用例,并为索引和流式处理大数据集等任务提供了复杂的功能,来自 250 多个贡献者的 650 个数据集。
Paper tables with annotated results for HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face