tokenizer.push_to_hub("dummy-model") 如果需要设置组织名称,那么可以在push_to_hub()参数中定义organization即可,如下所示。 tokenizer.push_to_hub("dummy-model",organization="huggingface") 也可以通过设置use_auth_token参数来设置。 tokenizer.push_to_hub("dummy-model",organization="huggingface"...
How to use Semantic Kernel with Hugging Face? This video will give you a walk-through how to get started or dive right into the Python Sample here. For the remainder of this blog post we will be using the Hugging Face Sample with Skills as reference. In the first two cells we install...
1. 登录Hugging Face 第一步:打开huggingface官网( huggingface.co/ ) 页面如下所示。 官网首页 第二步:登录。点击第一步中图片右上角的【Sign Up】,出现页面如下所示。 注册页面 如果没有huggingface账号的话,直接填写Email Address和Password,然后点击【Next】,跳转到如下页面。可以只填写Username和Full name...
因此，Hugging Face 技术主管 Philipp Schmid 介绍了如何使用 PyTorch FSDP 和 Q-Lora，并在 Hugging Face 的 TRL、Transformers、peft 和 datasets 等库的帮助下，对 Llama 3 进行微调。除了 FSDP，作者还对 PyTorch 2.2 更新后的 Flash Attention v2 也进行了适配。微调主要步骤如下：设置开发环境创建并加载数据...
One way to perform LLM fine-tuning automatically is by usingHugging Face’s AutoTrain. The HF AutoTrain is a no-code platform with Python API to train state-of-the-art models for various tasks such as Computer Vision, Tabular, and NLP tasks. We can use the AutoTrain capability even if...
第一步是安装 Hugging Face Libraries 以及 Pyroch,包括 trl、transformers 和 datasets 等库。trl 是建立在 transformers 和 datasets 基础上的一个新库,能让对开源大语言模型进行微调、RLHF 和对齐变得更容易。 代码语言:javascript 代码运行次数:0 运行 ...
does so by breaking down the sentence into smaller chunks, known as tokens. These tokens can be words, subwords, or even characters, depending on the tokenization algorithm being used. In this article, we will see how to use the Hugging Face Tokenizers Library to preprocess our textual data...
Hugging Face's model hub offers a huge collection of pre-trained models that you can use for a wide range of NLP tasks. Let’s discover how to use our first pre-trained model. 1. Select a Pre-trained Model: First, you need to select a pre-trained model. To do so, we go to the...
什么是 Hugging Face LLM Inference DLC? Hugging Face LLM DLC 是一款全新的专用推理容器,可在安全的托管环境中轻松部署 LLM。DLC 由文本生成推理(TGI)提供支持,这是一种用于部署和服务大型语言模型(LLM)的开源、专门构建的解决方案。TGI 使用张量并行和动态批处理为最受欢迎的开源 LLM(包括 StarCoder、BLOOM、GPT...
Hugging Face observability quickstart contains 1 documentation reference. This is how you'll get your data into New Relic. 続きを読む Why should you monitor your usage of Hugging Face? Monitor your application powered by Hugging Face language models to ensure, get visibility to what you send to...