Additional resources The following articles include example notebooks and guidance for how to use Hugging Face transformers for large language model (LLM) fine-tuning and model inference on Databricks. Prepare data for fine tuning Hugging Face models Fine-tune Hugging Face models for a single GPU...
timm: required byDetrForSegmentation. Single node training To test and migrate single-machine workflows, use aSingle Node cluster. Additional resources The following articles include example notebooks and guidance for how to use Hugging Facetransformersfor large language model (LLM) fine-tuning and mod...
To fine-tune the model on our data, we'll use Hugging Face's Trainer API. We need to set up the training configuration and an evalutation metric to use a Trainer. First, we'll set up the TrainingArguments. This defines all training hyperparameters, such as learning rate and...
一.Hugging Face模型 模型页面包括各种AI任务,使用的深度学习框架,各种数据集,语言种类,许可证类型等。重点说下各种类型的任务如下: 1.计算机视觉任务 Image Classification,Image Segmentation,Image-to-Image,Unconditional Image Generation,Object Detection 2.自然语言处理任务 Translation,Fill-Mask,Token Classification,...
一.Hugging Face模型 模型页面包括各种AI任务,使用的深度学习框架,各种数据集,语言种类,许可证类型等。重点说下各种类型的任务如下: 1.计算机视觉任务 Image Classification,Image Segmentation,Image-to-Image,Unconditional Image Generation,Object Detection ...
一.Hugging Face模型 模型页面包括各种AI任务,使用的深度学习框架,各种数据集,语言种类,许可证类型等。重点说下各种类型的任务如下: 1.计算机视觉任务 Image Classification,Image Segmentation,Image-to-Image,Unconditional Image Generation,Object Detection ...
zero-shot-classification (implemented on top of a nli text-classification model), for instance facebook/bart-large-mnli table-question-answering, for instance google/tapas-base-finetuned-wtq sentence-similarity, for instance osanseviero/full-sentence-distillroberta2 详细内容: https://huggingface.co...
Parameter-Efficient Fine-Tuning (PEFT), is a Hugging Face library, created to support the creation and fine tuning of adapter layers on LLMs.peft is seamlessly integrated with 🤗 Accelerate for large scale models leveraging DeepSpeed and Big Model Inference. The library supports many sta...
Transformers 库是 Hugging Face 最著名的贡献之一,它最初是 Transformer 模型的 pytorch 复现库,随着不断建设,至今已经成为 NLP 领域最重要,影响最大的基础设施之一。该库提供了大量预训练的模型,涵盖了多种语言和任务,成为当今大模型工程实现的主流标准,换句话说,如果你正在开发一个大模型,那么按 Transformer 库的...
Hugging Face and Kensho have made it very simple to access the SPGISpeech data with just a few lines of code. In an effort to make the dataset accessible to all, including those with limited computational resources, we provided three sizes of the training data: small, medium, an...