使用transformer架构实现简单的英语翻译中文模型. Contribute to junlongzhao/transformer-simple development by creating an account on GitHub.
class simpletransformers.ner.ner_model.NERModel (model_type, model_name, labels=None, args=None, use_cuda=True) This class is used for Named Entity Recognition. Class attributes tokenizer: The tokenizer to be used. model: The model to be used. model_name: Default Transformer model name or...
Vision Transformer - PytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch. Significance is further explained in Yannic Kilcher's video. There's really not much to code here, but may as well lay it ...
All models in the repository consist of a single stack of transformer blocks (that is, no encoder/decoder structures). It turns out that this simple configuration often works best. Installation and use First, download or clone the repository. Then, in the directory that contains setup.py, run...
class simpletransformers.ner.ner_model.NERModel (model_type, model_name, labels=None, args=None, use_cuda=True) This class is used for Named Entity Recognition. Class attributes tokenizer: The tokenizer to be used. model: The model to be used. model_name: Default Transformer model name or...
class simpletransformers.ner.ner_model.NERModel (model_type, model_name, labels=None, args=None, use_cuda=True) This class is used for Named Entity Recognition. Class attributes tokenizer: The tokenizer to be used. model: The model to be used. model_name: Default Transformer model name or...
Restore the english stuffRetransformer.getInstance().restore(English.class); To build: Clone this repository:git clone https://github.com/nickman/retransformer.git Run a maven [3] build:mvn clean install Back to the scheduled pace. Retransformer uses the Java Instrumentation API to issue retrans...
References with actual equations tend to describe models vastly more sophisticated than this one, while "simple" references take the view that Pout (i.e. the transformer load) is the known quantity used to calculate Pin, and of course we want the reverse. kandersolar added 5 commits June 18...
This paper proposes a simple technique to enhance the range of Transformer-XL. They simply route the memory segment of a layer to the layer below it, for the next recurrent step. You can enable this by setting shift_mem_down = 1. You can also shift down arbitrary number of layers by ...
Vision Transformer - PytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch. Significance is further explained in Yannic Kilcher's video. There's really not much to code here, but may as well lay it ...