开发人员可以使用 Python API 访问和构建 AutoTrain,或者在本地运行AutoTrain Advanced UI。Python API 可在 autotrain-advanced 包中获得。您可以使用 pip 安装它: pip install autotrain-advanced 三、AutoTrain Advanced UI 实战 3.1、创建项目 在Hugging Face AutoTrain 官网页面,点击【创建新项目】 单击【创建新...
Run on Colab or Hugging Face Spaces Run AutoTrain on Colab: Deploy AutoTrain on Hugging Face Spaces: Run AutoTrain UI on Colab via ngrok: Local Installation You can Install AutoTrain-Advanced python package via PIP. Please note you will need python >= 3.10 for AutoTrain Advanced to work ...
例如,Hugging Face中最常用的BERT模型,通常会使用BertTokenizer加载分词器,BertModel加载模型。自动类(Auto Class)则可以自动完成这项工作,这类包会根据模型名称自动检索相关模型。 由于笔者在做NLP文本分类相关研究,因此只介绍与笔者所做研究相关的包。本文主要介绍AutoConfig、AutoTokenizer、AutoModel、AutoModelForSequenc...
Running UI on Colab or Hugging Face Spaces Deploy AutoTrain on Hugging Face Spaces: Run AutoTrain UI on Colab via ngrok: Local Installation You can Install AutoTrain-Advanced python package via PIP. Please note you will need python >= 3.10 for AutoTrain Advanced to work properly. ...
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...
Getting this error: AttributeError: 'GPT2Tokenizer' object has no attribute 'train_new_from_iterator'Very similar to hugging face documentation. I changed the input and that's it (shouldn't affect it). It worked once. Came back to it 2 hrs later and it doesn't... nothing was changed...
A Hugging Face Transformers Trainer can receive a per_device_train_batch_size argument, or an auto_find_batch_size argument. However, they seem to have different effects. One thing to consider is that per_device_train_batch_size defaults to 8: it is always set, and you ca...
6. 获取数据集中的样本:dataset['train'][123456] 7. 查看数据词典:dataset['train'].features 其他所需的函数会在后文跟着例子一起讲述。 1.3 Yelp Reviews数据集的加载和预处理 数据集在huggingface上的官方网址:yelp_review_full · Datasets at Hugging Face ...
你可以使用这些工具加载你的GGML模型并以类似ChatGPT的方式与它们进行交互。幸运的是,许多量化模型可以直接在Hugging Face Hub上获取。你很快就会注意到大部分模型都是由LLM社区的知名人物TheBloke进行量化的 3.4 AWQ 网址:https://github.com/mit-han-lab/llm-awq ...
你可以使用这些工具加载你的GGML模型并以类似ChatGPT的方式与它们进行交互。幸运的是,许多量化模型可以直接在Hugging Face Hub上获取。你很快就会注意到大部分模型都是由LLM社区的知名人物TheBloke进行量化的 3.4 AWQ 网址:https://github.com/mit-han-lab/llm-awq ...