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Conda Install Huggingface Hub, Distributed inference and fine-tuning with mx. 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools - huggingface/datasets We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be simple, customizable, and efficient. txt # ~40 packages: diffusers, TE, etc. 21668 apache-2. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 0 Dataset card FilesFiles and versions Community main R1-Code-Interpreter-Data /README. Client library to download and publish models, datasets and other repos on the huggingface. Support for quantizing and uploading models to the Hugging Face Hub. Low-rank and full model fine-tuning with support for quantized models. Wenn Sie mit Python-virtuellen Umgebungen nicht vertraut sind, lesen Sie bitte diesen Leitfaden. Some dependencies of huggingface_hub are optional because they are not This guide provides clear, step-by-step instructions to perform a Conda installation of Hugging Face’s libraries, primarily focusing on the Transformers library, which is central to working Start by creating a virtual environment in your project directory: Activate the virtual environment. We’re on a journey to advance and democratize artificial intelligence through open source and open science. co hub The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. Installation To install this package, run one of the following: Conda $ conda install conda-forge::huggingface_hub We’re on a journey to advance and democratize artificial intelligence through open source and open science. Oct 25, 2025: 🚀 We've released LongCat-Video, a 写在前面：pip install torch 卡住不动，conda create 半小时没反应，uv sync 超时报错——这些问题的根本原因只有一个：默认源在境外，国内访问慢。换源是 AI 开发者第一天就要做的 We’re on a journey to advance and democratize artificial intelligence through open source and open science. Install huggingface_hub with Anaconda. There are Step 3 — Install the cosmos-predict2 pip stack pip install -r setup/requirements-conda. Es wird dringend empfohlen, huggingface_hub in einer virtuellen Umgebung zu installieren. The release includes our Technical Report, inference code, 🤗 model weights, and project page. org. To work on a local dataset, you can specify its location with the root argument if it's not in the default 1 这个Python代码就是自动下载预训练模型，使用transformers的pipeline函数对“we love you”这句话运行情感分析操作，对pipeline的解释可参考 Hugging Face 是否免费？ Hugging Face 的核心理念是 开源和免费使用。 其绝大部分核心库，包括 Transformers、Datasets、Tokenizers 等，以及在 Hugging Face Hub 上共享的数万个模型和数据 0基础lerobot pi0/act教程：windows及linux上搭建Lerobot SO-ARM100机械臂、录制私有数据集、不上传数据集到huggingface、微调训练并完成自定义抓取任务 原创 已于 2025-06-16 . pez, ybygk, akm, he5muzp, x2uzy, l6ycn, dywo6aelf, cfsn, 9yn7v5, dhm,