1`: Please run `pip install transformers[torch]` or `pip install accelerate -U` I already Tried Installing accelerate again and again but same error everytime. Nov 14, 2025 · The combination of `diffusers`, `transformers`, `accelerate`, and `PyTorch` provides a powerful ecosystem for a wide range of tasks, including text generation, image synthesis, and more. By fine-tuning openai/gpt-oss-20b on this dataset, it will learn to generate Sep 25, 2025 · # 安装并配置 pip install accelerate accelerate config # 选择多GPU选项后运行 accelerate launch run_local. text_input("请输入问题") Jan 20, 2026 · 文章浏览阅读12次。本文介绍了基于星图GPU平台自动化部署Tencent-Hunyuan/HY-MT1. When PyTorch has been installed, 🤗 Accelerate can be installed using pip as follows: Aug 31, 2024 · !pip install datasets evaluate transformers[sentencepiece] !pip install accelerate If you plan to run your training on a TPU, uncomment the line below and install the necessary packages: Dec 22, 2023 · I have tried both suggested solutions (pip install transformers[torch] and pip install accelerate -U) to no avail. 0 incorporates several strategies to accelerate transformer blocks, and these improvements are very relevant for diffusion models too. py 四、进阶使用指南 1. 5-1. 1 version. !pip install -U transformers datasets evaluate accelerate timm Mar 8, 2024 · Cuda PyTorch 是一个开源的 Python 机器学习库，基于 Torch 库，底层由 C++ 实现，应用于人工智能领域，如计算机视觉和自然语言处理 一键部署运行 colab Using the Trainer with PyTorch requires accelerate>=0. hf auth login Install Pytorch. text_input("请输入问题") It can be used as a drop-in replacement for pip, but if you prefer to use pip, remove uv from the commands below. 2 Platform: Linux-5. Run python llama_mmlu_eval_quantized. 0 and/or PyTorch has been install ed, 🤗 Transformers can be installed using pip as follows: 5 days ago · Install transformers with Anaconda. Before you start, you will need to setup your environment, install the appropriate packages, and configure Accelerate. 6+, PyTorch 1. State-of-the-art Natural Language Processing for TensorFlow 2. Restarted the Jupyter Notebook kernel after installing the libraries. org. 0 \ transformers==4. Prepare the dataset We will be using Multilingual-Thinking, which is a reasoning dataset where the chain-of-thought has been translated into several languages such as French, Spanish, and German. 5× — without sacrificing accuracy. Jul 22, 2023 · ImportError: Using the Trainer with PyTorch requires accelerate=0. 56. Jan 16, 2024 · 0 i want to install peft and accelerate: !pip install -q git+https://github. Web界面部署 # 安装Streamlit pip install streamlit # 创建app. 8B翻译模型 二次开发构建 now this editable install will reside where you clone the folder to, e. Transformer() Mar 16, 2023 · As important as torch. It can be used as a drop-in replacement for pip, but if you prefer to use pip, remove uv pip install transformers torch datasets accelerate tqdm huggingface_hub bitsandbytes # 2. nn. 7k次。在尝试使用Transformers库的TrainingArguments类时遇到了ImportError，错误指出使用Trainer需加速库accelerate版本大于等于0. Quickstart Generating outputs is super easy with 🤗 Diffusers. 21. 1: Please run pip install transformers [torch] or pip install accelerate -U` NOTE: If your import is failing due to a missing package, you can manually install dependencies using either !pip or !apt. 2 days ago · HuggingFace Transformers users can now easily accelerate their models with DeepSpeed through a simple --deepspeed flag + config file See more details. 8B翻译模型 二次开发构建 1 day ago · 文章浏览阅读121次，点赞2次，收藏7次。本文介绍了基于星图GPU平台自动化部署Hunyuan-MT-7B-WEBUI镜像的完整解决方案，有效解决依赖库缺失、环境冲突等常见问题。该镜像支持多语言翻译模型的一键推理，适用于AI驱动的跨语言通信、文档翻译等场景，助力开发者高效实现模型微调与应用开发。 The Hugging Face Transformers code for Qwen3-Omni has been successfully merged, but the PyPI package has not yet been released. 3 days ago · 3. It has been tested on Python 3. 8B翻译模型 二次开发构建by113小贝镜像的完整方案 Jan 1, 2026 · A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. If you’d like to play with the examples, you must install it from source. 0. Accelerate 是一个库，旨在通过将最常用的框架（Fully Sharded Data Parallel (FSDP) 和 DeepSpeed）统一到单个接口中，从而简化 PyTorch 在任何类型设置上的分布式训练。 Trainer 在底层由 Accelerate 提供支持，支持加载大型模型和分布式训练。 + from accelerate import Accelerator - device = 'cpu' + accelerator = Accelerator() - model = torch. … Feb 12, 2025 · 这是因为 accelerate 一些最新实现在 transformers 中开发版中，我们一般通过 pip install transformers 安装的都是稳定版，参考 transformers install ，从源码安装最新版 transformers ， Aug 3, 2023 · I have already tried the following steps: Installed the latest version of accelerate using !pip install accelerate -U. 3. !pip install torch Then install an up-to-date version of Transformers and some additional libraries from the Hugging Face ecosystem for accessing datasets and vision models, evaluating training, and optimizing training for large models. If you’d like to play with the examples, you must install it from source. To benefit from the accelerated attention implementation and `torch. Ensured that the environmental variables are updated. May 14, 2023 · !pip install 'transformers[torch]' Things should work after resolving any dependency issues and restarting your kernel to reload modules. 0 \ gradio>=4. Jun 9, 2023 · ImportError: Using the Trainer with PyTorch requires accelerate>=0. An editable install is recommended for development workflows or if you’re using the main version of the source code. 35 Python version: 3. 0+, and Flax. com/huggingface/peft. pip install datasets pip install transformers pip install accelerate pip install evaluate Jan 12, 2026 · 🎯 学习目标与前置知识 你将学会 如何下载并加载 Qwen2. 2. 8B 参数量级 的模型，在单张消费级显卡 Jul 3, 2023 · 文章浏览阅读3. 0 ! pip install transformers==4. 0-97-generic-x86_64-with-glibc2. 5. title("DeepSeek本地服务") prompt = st. When TensorFlow 2. git But as my torch version is 1. pypi. 8+. 9 PyTorch ≥ 2. Create a virtual environment to install Transformers in. 13. 0，以确保兼容性。 Installation with pip ¶ First you need to install PyTorch. 多GPU推理配置详解 3. Install 🤗 Transformers for whichever deep learning library you’re working with, setup your cache, and optionally configure 🤗 Transformers to run offline. May 22, 2023 · One option is “!pip install accelerate -U” at the very beginning, then restart the runtime and it should work. 1 (Debian 11) GCP 딥러닝 최적화 이미지 모델 Kanana-2-30b-a3b-instruct 4-bit 양자화 적용 모델 추론 세팅 구분 Transformers vLLM (API 서빙) 양자화 Jun 23, 2025 · 是否已有关于该错误的issue或讨论？ | Is there an existing issue / discussion for this? 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions 该问题是否在FAQ中有解答？ | Is there an existing answer for this Feb 25, 2023 · よくある既存の学習コードをちょこっと変更するだけで簡単に使えるようなので、まずはaccelerateを使ってmulti GPUの学習コードを書いてみようと思います。 accelerateの設定 accelerateはpipで簡単にインストールできます。 If you’re unfamiliar with Python virtual environments, check out the user guide. 5-7B-Instruct大型语言模型 二次开发构建by113小贝”镜像的完整流程，重点解决依赖版本冲突导致的模型加载失败、显存异常等问题。通过精准匹配torch与transformers等核心组件版本，结合bfloat16精度优化与device_map自动分配策略，实现 Nov 4, 2025 · Hey there, When following this instruction https://docs. Follow the installation instructions below for the deep learning library you are using: May 12, 2023 · @PenghuiCheng you need to do pip install transformers[torch] to ensure you're building/installing the right version Apr 25, 2024 · When I use TrainingArguments, it shows “ImportError: Using the Trainer with PyTorch requires accelerate>=0. 20. py We’re on a journey to advance and democratize artificial intelligence through open source and open science. g. 1 Accelerate 简介 Accelerate 是 Hugging Face 提供的一个轻量级库，能够在不修改代码的前提下支持多种并行模式，包括： 数据并行（Data Parallelism） 张量并行（Tensor Parallelism） 流水线并行（Pipeline Parallelism） 设备自动映射（Device Map Auto） 对于 1. Do note that you have to keep that accelerate folder around and not delete it to continue using the 🤗 Accelerate library. 0 from `pip`, and make sure you are on diffusers 0. compile() is, there’s much more to PyTorch 2. 3 Accelerate versio This article guides you through the straightforward process of installing Transformers using pip, ensuring you can quickly leverage its powerful features for your projects. " 19 hours ago · SGLang using pip install sglang from source, then update transformers to the latest main branch. For reference, I was able to load a fine-tuned distilroberta-base and its corresponding model. git !pip install -q git+https://github. Now, if you want to use 🤗 Transformers, you can install it with pip. 8环境安装torch和transformers库的详细步骤。 首先强调了需要先安装numpy库，然后通过pip命令，结合清华镜像源安装torch1. It introduces a lightweight metric based on antidiagonal sums to efficiently select important attention blocks, enabling high sparsity and 6 days ago · This page covers the installation of the DMLR framework and the configuration of required environment variables and API credentials. 9+ and PyTorch 2. Now, if you want to use 🤗 Transformers, you can install it with pip. 09 and later on NVIDIA GPU Cloud. 0+, TensorFlow 2. com/huggingface/accelerate. ~/accelerate/ and python will search it too. Installed the transformers library with PyTorch support using !pip install transformers [torch]. For this example, we'll also install 🤗 Datasets to load toy audio dataset from the Hugging Face Hub, and 🤗 Accelerate to reduce the model loading time: Mar 21, 2025 · XAttention is a plug-and-play sparse attention framework for Transformers that speeds up long-context inference by up to 13. As explained below, `diffusers` automatically uses the attention optimizations (but not `torch. 1pip install tqdmpip install datasetspip install accelerate To run the model, first install the Transformers library. 4 days ago · 安装 Transformers 库（已安装可跳过）： bash pip install transformers accelerate 获取模型（需登录 HF 账号并接受许可协议）： bash huggingface-cli login Python 脚本加载并推理： ```python from transformers import AutoTokenizer, AutoModelForCausalLM import torch If you’re unfamiliar with Python virtual environments, check out the user guide. To install Diffusers, use the following command: This will install Diffusers and its dependencies. 3 / CUDA 12. Edit script to set QUANTIZATION_BITS = 4 # 4. For comp Dec 17, 2025 · The ultimate training toolkit for finetuning diffusion models - ostris/ai-toolkit 3 days ago · 文章浏览阅读32次。本文介绍了基于星图GPU平台自动化部署“通义千问2. 10. 0，接着同样使用pip安装transformers，可以选择特定版本如3. safetensors file with the following: Dec 6, 2023 · In Chapter 3, the fine-tuning that needs to be used is !pip install datasets evaluate transformers [sentencepiece] ! pip install accelerate==0. 2+. 3 transformers Restart the runtime to apply the changes: Go to the "Runtime" menu at the top of the Colab interface and choose "Restart Runtime. 0 or later. [torch] Quickstart Get started with Transformers right away with the Pipeline API. 52. Nov 3, 2025 · cd transformers # pip pip install . Note: Underspecifying pip install -U transformers instead of pip install transformers[pytorch] might be easier since that's what most of the users do and the developers of the library will make sure that the basic pip works with the common functions and class like Installation with pip ¶ First you need to install PyTorch. 🤗 Accelerate abstracts exactly and only the boilerplate code related to multi-GPUs/TPU/fp16 and leaves the rest of your code unchanged. 4. py import streamlit as st from transformers import pipeline st. We’re on a journey to advance and democratize artificial intelligence through open source and open science. compile`, you just need to install the latest versions of PyTorch 2. When PyTorch has been installed, 🤗 Accelerate can be installed using pip as follows: Jan 9, 2026 · PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem. Here is an example: Jun 11, 2023 · ! pip install -U accelerate ! pip install -U transformers Then the issue you are having with accelerate should auto-resolve itself. 0和torchvision0. transformers using with transformers as and then run: Apr 7, 2023 · 本文介绍了在Windows10系统上，使用Python3. 5 系列指令模型 使用 LoRA 技术对大模型进行轻量级微调 构建符合目标任务的指令数据集 利用 Trainer API 完成训练与保存 加载微调权重进行推理，并通过 Chainlit 实现对话交互 🔧 前置要求 Python ≥ 3. Jun 23, 2023 · ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0. 🤗 Accelerate was created for PyTorch users who like to write the training loop of PyTorch models but are reluctant to write and maintain the boilerplate code needed to use multi-GPUs/TPU/fp16. 🤗 Transformers is tested on Python 3. PyTorch Lightning provides easy access to DeepSpeed through the Lightning Trainer See more details. Jul 9, 2025 · 文章浏览阅读4. Install Transformers with pip in your newly created virtual environment. 1: Please run pip install transformers[torch] or pip install accelerate -U However, it still gives the error even after I pip install the recommended libraries. 23. 1. 0: Please run pip install transformers [torch] or pip install accelerate -U”. Feb 20, 2024 · ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0. 15. _exit(00) Accelerate 是一个库，旨在通过将最常用的框架（Fully Sharded Data Parallel (FSDP) 和 DeepSpeed）统一到单个接口中，从而简化 PyTorch 在任何类型设置上的分布式训练。 Trainer 在底层由 Accelerate 提供支持，支持加载大型模型和分布式训练。 Dec 8, 2025 · PyTorch With pip (official package): pip install --upgrade diffusers [torch] With conda (maintained by the community): conda install -c conda-forge diffusers Apple Silicon (M1/M2) support Please refer to the How to use Stable Diffusion in Apple Silicon guide. 1。解决方案是降低transformers版本至4. unsloth. A special link is created between the cloned repository and the Python library paths. to(device) + model = torch. org/simple/ bitsandbytes` or pip install bitsandbytes` But I've installed both, and I get the same error. Now, let's create a simple example using PyTorch, Transformers, and Diffusers. 0. I shut down and restarted the jupyter kernel I was using this on. 빠른 요약 서버 세팅 구분 사양 비고 GPU NVIDIA L4 (24GB VRAM) A100 대안으로 선택 CPU RAM 64GB 모델 로드 시 안정성 확보 부팅 디스크 200GB (100GB+100GB) OS 이미지 PyTorch 2. It handles preprocessing the input and returns the appropriate output. 1`: Please run `pip install transformers[torch]` or `pip install accelerate -U` This error arises, But i have already installed it. compile`) when available. Accelerate is tested on Python 3. 30. 在云服务主导AI模型使用的当下，本地部署DeepSeek-R1模型具有显著优势。首先，数据隐私保护是核心诉求，敏感业务数据无需上传至第三方平台，完全由企业自主掌控。其次，本地部署可消除网络延迟问题，尤其在实时推理场景中，本地GPU的毫秒级响应远优于云端调用。最后，长期使用成本更低 . 4 Safetensors version: 0. 0 \ accelerate>=0. 0 + CUDA 支持（建议 A100 或以上显卡 pip install transformers torch datasets accelerate tqdm huggingface_hub bitsandbytes # 2. 9. May 15, 2023 · ! pip install accelerate -U ! pip install -U transformers with all other installs then restarted Kernel Oct 15, 2025 · diffusersとtransformersの依存問題回避方法：完全ガイド 目次 問題の概要 発生する原因の深堀り 実際のコード変更のエビデンス 回避方法パターン集 実践的なトラブルシューティング 問題の概要 Stable DiffusionやAnimateDi Jun 18, 2025 · Master Transformers version compatibility with step-by-step downgrade and upgrade instructions. Transformer Engine in NGC Containers Transformer Engine library is preinstalled in the PyTorch container in versions 22. Please refer to the PyTorch installation page regarding the specific install command for your platform. If you’re unfamiliar with Python virtual environments, check out the user guide. Create a virtual environment with the version of Python you’re going to use and activate it. 0+cu111, the latest accelerate doesn't support my torch version. Details to install from each are below: To install Accelerate from pypi, perform: 1 day ago · 文章浏览阅读121次，点赞2次，收藏7次。本文介绍了基于星图GPU平台自动化部署Hunyuan-MT-7B-WEBUI镜像的完整解决方案，有效解决依赖库缺失、环境冲突等常见问题。该镜像支持多语言翻译模型的一键推理，适用于AI驱动的跨语言通信、文档翻译等场景，助力开发者高效实现模型微调与应用开发。 Oct 13, 2024 · Just create a new conda environment and install everything from scratch. By fine-tuning openai/gpt-oss-20b on this dataset, it will learn to generate Jul 22, 2023 · ImportError: Using the Trainer with PyTorch requires accelerate=0. 3 days ago · 解决方案： 清理现有安装 bash pip uninstall transformers accelerate sentencepiece torch 强制重新安装指定版本 bash pip install --no-cache-dir \ torch>=2. 0 and PyTorch Accelerate is a library that enables the same PyTorch code to be run across any distributed configuration by adding just four lines of code! In short, training and inference at scale made simple, efficient and adaptable. The Pipeline is a high-level inference class that supports text, audio, vision, and multimodal tasks. To avoid getting an error: ImportError: Using the Trai Jul 27, 2023 · !pip install accelerate>=0. For instructions on running your first evaluation, see $1. Accelerate is available on pypi and conda, as well as on GitHub. ai/new/fine-tuning-llms-with-nvidia-dgx-spark-and-unsloth I run into this problem the Jupiter Notebook 3 days ago · 解决方案： 清理现有安装 bash pip uninstall transformers accelerate sentencepiece torch 强制重新安装指定版本 bash pip install --no-cache-dir \ torch>=2. pip - from PyPI Transformer Engine can be directly installed from our PyPI, e. [torch] # uv uv pip install . The Hugging Face Transformers code for Qwen3-Omni has been successfully merged, but the PyPI package has not yet been released. pip is a package installer for Python. Transformer(). Create a virtual environment with the version of Python you’re going to use and activate it. Fix breaking changes and dependency conflicts fast. As to the cause of your issue, it could be that you were using the wrong python environment by accident, it could also be a failed pip upgrade. Jan 1, 2026 · A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. 12 Huggingface_hub version: 0. Virtual environment uv is an extremely fast Rust-based Python package and project manager and requires a virtual environment by default to manage different projects and avoids compatibility issues between dependencies. 0: Please run pip install transformers[torch] or pip install accelerate -U import os os. Another option may be to downgrade pytorch to 1. 0 + CUDA 支持（建议 A100 或以上显卡 pip install torchpip install transformers==4. 99 使用虚拟环境隔离（推荐） ``` bash # 创建独立环境 python3 -m venv hy 19 hours ago · 文章浏览阅读470次，点赞16次，收藏11次。本文介绍了基于星图GPU平台自动化部署Tencent-Hunyuan/HY-MT1. Notably, PyTorch 2. 0 \ sentencepiece>=0. 41. In this blog, we'll explore what these libraries are, how to install them using `pip`, and how to use them effectively in your projects. Therefore, you need to install it from source using the following command. 24. Sep 25, 2025 · # 安装并配置 pip install accelerate accelerate config # 选择多GPU选项后运行 accelerate launch run_local. Login huggingface-cli login # 3. 学习如何安装和配置Accelerate库，包括pip安装、conda安装和源码安装等多种方式，以及如何进行基本配置。 Please refer to TensorFlow install ation page and/or PyTorch installation page regarding the specific install command for your platform. 4w次，点赞21次，收藏74次。 Py之accelerate：accelerate的简介、安装、使用方法之详细攻略目录accelerate的简介accelerate的安装accelerate的使用方法accelerate的简介 Accelerate 是一个为 PyTorch 用户设计的库，旨在帮助简化分布式训练和混合精度训练的过程。它提供了一种简单且灵活的方式来加速和 Jun 24, 2024 · System Info transformers version: 4. Transformers works with PyTorch. Now that we’ve installed the required libraries, let’s take a look at the dataset that we will use for fine-tuning. Therefore, I believe there might be a compatibility issue between the Trainer and the accelerate package, or perhaps an issue with my current Python environment setup. 0或者安装指定版本的accelerate。 Aug 17, 2023 · ImportError: Using `load_in_8bit=True` requires Accelerate: `pip install accelerate` and the latest version of bitsandbytes `pip install -i https://test.

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