Hugging Face is a hub for state-of-the-art AI models. It’s primarily known for its wide range of open-source transformer-based models that excel in natural language processing (NLP), computer vision, and audio tasks. The platform offers several resources and services that cater to developers...
Hugging Face 是一个开源库,用于构建、训练和部署最先进的 NLP 模型。Hugging Face 提供了两个主要的库,用于模型的transformers 和用于数据集的datasets 。可以直接使用 pip 安装它们。 代码语言:javascript 复制 pip install transformers datasets Pipeline
Prepare the pre-train corpus.Hugging FaceDatasetsprovides useful toolkits to prepare and share data for different use cases (again we focus on NLP for now). Check thistutorialto get started. There are also many public resources that could be considered as potent...
This tutorial showcases how to accelerate finetuning a full Llama 2 or Llama 3 models from Hugging Face by using TransformerLayer from the Transformer Engine library in BF16 and FP8 precisions.Dependencies for this tutorial¶ Following files and media are necessary to effecti...
本章主要介绍Hugging Face下的另外一个重要库:Datasets库,用来处理数据集的一个python库。当微调一个模型时候,需要在以下三个方面使用该库,如下。 从Huggingface Hub上下载和缓冲数据集(也可以本地哟!) 使用Dataset.map()预处理数据 加载和计算指标 ...
This setup uses Data Parallelism, but it is also possible to use Model Parallelism for very large models that don't fit in one GPU. The first option consists of Tensor Parallelism that splits the execution of a single transformer module over multiple GPUs, you will need to chang...
This setup uses Data Parallelism, but it is also possible to use Model Parallelism for very large models that don't fit in one GPU. The first option consists of Tensor Parallelism that splits the execution of a single transformer module over multiple GPUs, you will need to change...
device– Look for gpu to use. Will use cpu by default if no gpu found. model_name_or_path– Name of transformers model – will use already pretrained model. Path of transformer model – will load your own model from local disk. In this tutorial I will usegpt2model. ...
Transformer structure, which has been the standard architecture for large language models since 2018. * Grounded in the Transformer architecture, Llama has become a new cornerstone for the majority of state-of-the-art open-source models due to its excellent stability, reliable convergence, and ...
sample-factory is a codebase for high throughput asynchronous reinforcement learning. It has integrations with the Hugging Face Hub to share models with evaluation results and training metrics. Repository: https://github.com/alex-petrenko/sample-factory 安装: pip install sample-factory 示例: python...