1.1 Hugging Face Hub 上传数据集到Hub数据集存储库。 使用datasets.load_dataset()加载Hub上的数据集。参数是存储库命名空间和数据集名称(epository mespace and dataset name) from datasets import load_dataset dataset = load_dataset('lhoestq/demo1') 根据revision加载指定版本数据集:(某些数据集可能有Git...
继续上一篇的past_key_values问题,梳理一下BertLayer中的attention,以及past_key_values怎么使用,首先我们在使用from_pretrained 加载bert模型,比如bert-uncased这类模型时,只是单纯的bert,没有涉及到seq2seq和generation,那么bert就是一个encoder,因为Bert本身基于transformer的encoder部分进行设计的。 初始化顺序BertModel-...
2. Model HubThe Model Hub stands as the community's face, a platform where thousands of models and datasets are at your fingertips. It is an innovative feature that allows users to share and discover models contributed by the community, promoting a collaborative approach to NLP development....
transformers目前已被广泛地应用到各个领域中,hugging face的transformers是一个非常常用的包,在使用预训练的模型时背后是怎么运行的,我们意义来看。 以transformers=4.5.0为例 基本使用: fromtransformersimportBertModel model = BertModel.from_pretrained('base-base-chinese') 找到源码文件:modeling_bert.py: classBe...
What does do_sample parameter of the generate method of the Hugging face model do? Generates sequences for models with a language modeling head. The method currently supports greedy decoding, multinomial sampling, beam-search decoding, and beam-search multinomial sampling. do_sample (bool, optional...
I have looked at a lot resources but I still have issues trying to convert a PyTorch model to a hugging face model format. I ultimately want to be able to use inference API with my custom model. I have a "model.pt" file which I got from fine-tuning the Facebook Mu...
作为深度试用过这个社区的用户,我先抛出个人的一个结论,ModelScope确实和hugging face有一些相似之处,...
ykilcher/gpt-4chan · Hugging Facehuggingface.co/ykilcher/gpt-4chan gpt-4chan.[1]没错,是...
Hugging Face is most notable for its Transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets.This connector is available in the following products and regions:...
Use Pandas UDFs to distribute model computation on a Spark cluster Return complex result types Tune performance Show 2 more This article shows you how to use Hugging Face Transformers for natural language processing (NLP) model inference.