The utility model provides a main step up transformer is used to wind -powered electricity generation field which be provided with the auxiliary winding that d connect between high voltage winding and the low voltage winding, draw forth ground connection, the transformer link group do not be for...
the transformer rated power can be better adjusted to an average value in such a way that loss of life is closer to unitary during a complete year period of evaluation; in this way, the transformer is not over-dimensioned and can provide the same reliable and robust service during enough am...
python -u finetune.py --model_name_or_path=unified_transformer-12L-cn ``` 其中参数释义如下: - `model_name_or_path` 指示了finetune使用的具体预训练模型,可以是PaddleNLP提供的预训练模型,或者是本地的预训练模型。如果使用本地的预训练模型,可以配置本地模型的目录地址,例如: ./checkpoints/model_xx...
The Transformer is more natural and efficient than CNN in processing this demand. This is mainly because the attention in the Transformer can effectively mine the relationships between text features, allowing the model not only focuses on local information but also has a diffusion mechanism to find...
Large-scale language models show promising text generation capabilities, but users cannot easily control this generation process. We releaseCTRL, a 1.6 billion-parameter conditional transformer language model, trained to condition on control codes that specify domain, subdomain, entities, relationships betw...
Vishnu et al. (2023) further expanded upon the previously mentioned approach and introduced three prediction models with distinct architectures: TS-Transformer, Generative Adversarial Network-based (TS-GAN), and Conditional Variational Autoencoder-based (TS-CVAE). These models are designed to generate ...
Quantization is especially important with large models such as those based on the Transformer architecture like BERT or GPT. There are two types of quantization: Static – Static quantization quantizes the weights and activations of the model. This quantization is used when both memor...
1.简介 目标：基于pytorch、transformers做中文领域的nlp开箱即用的训练框架，提供全套的训练、微调模型（包括大模型、文本转向量、文本生成、多模态等模型）的解决方案；数据：从开源社区，整理了海量的训练数据，帮助用户可以快速上手；同时也开放训练数据模版，可以快速处理垂直领域数据；结合多线程、内存映射等更高效的...
modeldimspecifies the hidden dim of the Transformer. epochsspecifies the number of iterations. diffusionstepspecifies the total steps of the diffusion process. basemodelspecifies the spatio-temporal graph model, which can be selected from ['v_STGCN5', 'v_GWN']. ...
model_name: Default Transformer model name or path to Transformer model file (pytorch_model.bin). device: The device on which the model will be trained and evaluated. results: A python dict of past evaluation results for the TransformerModel object. args: A python dict of arguments used for...