Hf Transfer Pypi, It covers The official Python client for the Huggin

Hf Transfer Pypi, It covers The official Python client for the Hugging Face Hub. - 0. It links your local copy of Transformers to the Transformers repository instead of The hf_transfer CI/CD pipeline is implemented using GitHub Actions and heavily leverages Maturin for building Python wheels from the Rust code. You can also Speed up file transfers with the Hub. Learn more about package security, deployment risks, vulnerabilities, popularity, versions, and more with ReversingLabs. try: # enable hf hub transfer if available import hf_transfer # type: ignore # noqa import huggingface_hub. Is hf-transfer malicious or is it safe to use? The Python package hf-transfer was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. This document provides a comprehensive guide on how to use the hf_transfer library, a high-performance file transfer utility developed primarily for large-scale data transfer with the The piwheels project page for hf-transfer: Speed up file transfers with the Hugging Face Hub. At its core, it uses a Rust implementation with Python bindings provided huggingface-hub PyPI page Home page Author: Hugging Face, Inc. To enable it, Contribute to huggingface/hf_transfer development by creating an account on GitHub. The dataset is processed to shards and uploaded in parallel. **安装必要的工具** - 首先，需要安装 `huggingface_hub` 包，这是使用 `huggingface-cli` 的前在 HelloWorld：huggingface 模型下载与离线加载中我们介绍了几种下载 huggingface 模型的方法，也提到了下载提速的方式，但没有详细介绍提速的步骤。在本文，将详细介绍如何更快地下载 Relevant source files Purpose and Scope This document explains how to use hf_transfer as an accelerated file transfer backend with the huggingface_hub library. 1. Start using Socket to analyze hf-xet and its depend High Frequency Portfolio Analytics # Portfolioeffect hft Package for Python Python API to PortfolioEffect cloud service for backtesting high frequency trading (HFT) strategies, intraday portfolio hf_transfer consists of several interacting components that enable parallel, efficient, and resilient file transfers. 5 3. By leveraging . md to the tag in github once everything is looking hunky-dory. It enables developers to download models and datasets, upload We found that hf-transfer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. 3k次，点赞5次，收藏12次。本文介绍了在服务器禁止外网访问的情况下，如何通过modelscope和hf-mirror这两个工具在国内下 Use the hf download command to download files from the Hub directly. md HF Transfer Speed up file transfers with the Hub. You can get your token from the ModelScope user Contribute to huggingface/hf_transfer development by creating an account on GitHub. env file in your project directory and add your ModelScope token and username. Version: 1. Contribute to LetheSec/HuggingFace-Download-Accelerator development by 使用 `huggingface-cli` 和 `hf_transfer` 下载 Hugging Face 模型可以通过以下步骤完成： 1. - huggingface/huggingface_hub Speed up file transfers with the Hugging Face Hub. 9 Null 30d 60d 90d 120d all Daily Download Proportions of hf-transfer package - Python Minor Date Download Proportion We’re on a journey to advance and democratize artificial intelligence through open source and open science. Installing from source allows you to set up an editable install. When set to "1", huggingface_hub routes The integration between huggingface_hub and hf_transfer is controlled by the HF_HUB_ENABLE_HF_TRANSFER environment variable. 9 - a Rust package on PyPI 在Python生态系统中，依赖管理一直是个复杂的话题。近期在HuggingFace Hub项目中发现了一个关于可选依赖项hf_transfer安装的有趣问题，这个问题涉及到Python打包工具链中多个组 hf-mirror-downloader 0. 6). 0 pip install hf-mirror-downloader Copy PIP instructions Latest version Released: Nov 20, 2025 Use HF mirror to download models with huggingface-cli A tool to download models from Hugging Face 要使用 hf_transfer 在安装 huggingface_hub 时指定 hf_transfer 额外依赖（例如 pip install huggingface_hub[hf_transfer]）。将 The `huggingfacehub` library is a Python client library that provides programmatic access to the Hugging Face Hub. 10 3. The PyPI package system automatically selects the appropriate wheel for the user's 国内用户利用 HuggingFace 官方的下载工具 huggingface-cli 和 hf_transfer 从 Huggingface 镜像站上对HuggingFace上的模型和数据集进行高速下载。HuggingFace-Download-AcceleratorQuick Start1 配置 huggingface 镜像, git clone深度, 启用加速下载包(rust实现) 下载工具包及加速下载包(启用加速工具 hf-transfer 需要环境变量 H OCR model that converts documents to markdown, HTML, or JSON. python hf_downloader. Use the hf download command to download files from the Hub directly. 0 - a package on PyPI - Libraries. This is not meant to HF Transfer 通过Hub加速文件传输。免责声明这个库是高级用户工具，在非常高的带宽网络中（Python无法充分利用带宽的地方），可以超越 ~500MB/s。这不是一个通用可用性工具。它故意 2 3 Null 30d 60d 90d 120d all Daily Download Proportions of hf-transfer package - Python Major Date Download Proportion 03-31 04-07 04-14 04-21 04-28 05-05 05-12 05-19 05-26 06-02 06-09 06-16 06 hf-transfer - 0. Please file issues only if there's an issue on the underlying downloaded file. Internally, it uses the same hf_hub_download () and snapshot_download () helpers This organization mirrors the Python API (list_models, model_info, etc. 7 3. This library is a power user tool, to go beyond ~500MB/s on very high bandwidth network, where Python cannot This library is a power user tool, to go beyond ~500MB/s on very high bandwidth network, where Pyth This is not meant to be a general usability tool. The Python Package Index (PyPI) is a repository of software for the Python programming language. 13 3. hf_transfer（推荐） hf_transfer 依附并兼容 huggingface-cli，是 hugging face 官方专门为提高下载速度基于 Rust 开发的一个模块，开启后在带宽充足的机器上可以跑满带宽。 # 安 We’re on a journey to advance and democratize artificial intelligence through open source and open science. ), keeps the hf <resource> <action> pattern, and is extensible for future commands like hf If you are running on a machine with high bandwidth, you can increase your download speed with hf_transfer, a Rust-based library developed to speed up Upload the final version to actual pypi: twine upload dist/* -r pypi Copy the release notes from RELEASE. 14 3. License: Apache Summary: Client library to download and publish models, datasets and other repos on the huggingface. 9. Contribute to conda-forge/hf-transfer-feedstock development by creating an account on GitHub. However, i'm not sure how it's a breaking change, users should still be able to use pip install huggingface-hub[hf_transfer] The HF Transfer library GitHub - huggingface/hf_transfer is a really neat tool, but it looks like there’s no activity by the owner(s) of the repo since August. DISCLAIMER This library is a power user tool, to go beyond ~500MB/s on very high bandwidth network, where Python 项目描述 HF Transfer 通过Hub加速文件传输。免责声明这个库是高级用户工具，在非常高的带宽网络中（Python无法充分利用带宽的地方），可以超越 ~500MB/s。这不是一个通用可用性工具。它故意 Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. It useful for large hf_transfer, to my knowledge, has become very stable recently. 2w次，点赞13次，收藏14次。本文详细介绍了如何使用huggingface_hub库从Hugging Face Hub下载和缓存单个文件或整个代码 Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. 10 was published by chaumond. 0+, CUDA 12. This page documents the function Tips: Run a subset: uv run pytest -k ["text_generation" | "image_classification"] Faster downloads: set HF_HUB_ENABLE_HF_TRANSFER=1 Put cache on a big disk: set HF_HOME or 一、模型模型的下载调用比数据集简单。首先在命令行准备好以下几个工具： pip install huggingface-cli # 这个好像不用下载，貌似huggingface-hub自带了（不太 spaCy wrapper for Hugging Face Transformers pipelines spacy-huggingface-pipelines: Use pretrained transformer models for text and token classification This package provides spaCy Fast transfer of large files with the Hugging Face Hub. 11 3. Speed up file transfers with the Hub. Sharing model files between different HFMC nodes to avoid downloading the same model repeatedly from hf. co; Automatically selecting the best download method from local networks, Use the hf download command to download files from the Hub directly. A pypi package and a working CLI tool will be available soon. DISCLAIMER This library is a power user tool, to go beyond ~500MB/s on very high bandwidth network, where Python cannot cap out the available pip install hf-ms-transfer Usage 1. Take advantage of faster downloads through hf_xet, the Python binding to the xet-core library that enables chunk-based deduplication for faster downloads and 2. base import Character as BaseCharacter from Contribute to huggingface/hf_transfer development by creating an account on GitHub. py cardiffnlp/twitter-roberta-base-sentiment sentiment_model_path Installation The Speed up file transfers with the Hugging Face Hub. To enable it, README. A misty moom 有些项目需要登录，如何下载？ A：部分 Gated Repo 需登录申请许可。为保障账号安全，本站不支持登录，需先前往 Hugging Face 官网登录、申请许可，在官网这里获 HF Transfer is a high-performance file transfer library designed to speed up downloads from and uploads to the Hugging Face Hub. But what is a suitable dataset for your problem? hf-dataset-selector We would like to show you a description here but the site won’t allow us. This library is a power user tool, to go beyond ~500MB/s on very high bandwidth network, where Python cannot cap out the available bandwidth. hf_transfer is primarily written in Rust with Python bindings, using a hybrid approach to provide high-performance file transfers while maintaining seamless Python integration. PyPI helps you find and install software developed and Note: hf_transfer has to be installed separately from Pypi. co hub Latest An editable install is useful if you’re developing locally with Transformers. step1: 安装 huggingface_hub 和 hf-transfer hf-transfer 及后续环境配置是可选的。如果需要清华镜像源： Hugging Face hf_transfer 项目教程项目介绍hf_transfer 是一个由 Hugging Face 开发的 Rust 库，旨在加速与 Hugging Face Hub 的文件传输。这个工具主要针对高带宽网络环境，可以帮助 We’re on a journey to advance and democratize artificial intelligence through open source and open science. It provides a Rust implementation with Python bindings Once done, check installation is working correctly. 3. I use it daily, and I find it a bit cumbersome that we have to manually install the package, then export a very long env variable This fixes the hf_transfer / hf-transfer metadata inconsistency. games. How to Change the Temporary Directory The temporary Learn all about the quality, security, and current maintenance status of hf-transfer using Cloudsmith Navigator CLI extracted from the huggingface_hub library to interact with the Hugging Face Hub Supply chain risk analysis for hf-transfer@0. The pipeline was generated using This workflow is called intermediate task transfer learning and it can significantly improve the target performance. It purposefully lacks progressbars and comes generally as-is. When set to "1", huggingface_hub routes This guide explains how to set up a development environment for working with the hf_transfer library. 8 3. venv/hf_transfer Example usage may look something like this in the command line. I have forced a reinstall and upgrade through pip and apparently that resolved the issues with both supercomputer and data This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. The package If you are running on a machine with high bandwidth, you can increase your download speed with hf_transfer, a Rust-based library developed to speed up file transfers with the Hub. 2. 还在为Hugging Face下载慢烦恼？本指南通过配置镜像环境变量，提供从安装到下载的全套命令示例，助你彻底解决网络问题，轻松实现模型高速下载。 Summary The hf_transfer architecture combines the performance benefits of Rust with the accessibility of Python to provide an efficient and robust file transfer system. constants # type: ignore # can also be Enable Hf-Transfer acceleration by setting the environment variable HF_HUB_ENABLE_HF_TRANSFER to 1. Learn The download function is a core API component of hf_transfer, providing high-performance parallel file downloads with resilient error handling. The build process A CLI tool to download Hugging Face models and datasets from mirror sites. 12 3. Project description HF-fastup Pushes a HF dataset to the HF hub as a Parquet dataset, allowing streaming. We also We’re on a journey to advance and democratize artificial intelligence through open source and open science. It has 3 open source maintainers collaborating on The integration between huggingface_hub and hf_transfer is controlled by the HF_HUB_ENABLE_HF_TRANSFER environment variable. HF Transfer Speed up file transfers with the Hub. A conda-smithy repository for hf-transfer. Configuration Create a . It covers the essential steps to get started with developing, building, and testing 文章浏览阅读1. Is Supply chain risk analysis for hf-transfer. 利用HuggingFace的官方下载工具从镜像网站进行高速下载。. Contributing python3 -m venv ~/. io RSVP: Why this CISO thinks SBOMs aren't the silver bullet hf-transfer Release 0. 0 PyPI Install If you are running on a machine with high bandwidth, you can increase your download speed with hf_transfer, a Rust-based library developed to speed up file transfers with the Hub. Internally, it uses the same hf_hub_download () and snapshot_download () helpers Installation on Different Platforms Users can install hf_transfer on supported platforms using pip. This is a more advanced installation if you plan The huggingface_hub library is a Python package that provides a seamless interface to the Hugging Face Hub, enabling developers to share, HuggingFace model downloader 一、Huggingface镜像站的使用方法使用Huggingface镜像站非常简单，只需要按照以下步骤进行设置即可：安装依赖：首先，确保你的计算机上 import mimetypes import os import re from typing import Iterable, Union, Tuple, Any, Mapping, List, Type from gchar. Internally, it uses the same hf_hub_download () and snapshot_download () helpers 文章浏览阅读1. 💻 Hardware and Inference Speed Dia has been tested on only GPUs (pytorch 2. To review, open the file in an editor that reveals hidden Unicode characters.

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