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 ...
This library is based on theTransformerslibrary by HuggingFace. Simple Transformers lets you quickly train and evaluate Transformer models. Only 3 lines of code are needed to initialize a model, train the model, and evaluate a model. Currently supports Sequence Classification, Token Classification (NE...
Pytorch implementation for "A New Dataset and Transformer for Stereoscopic Video Super-Resolution" - Trans-SVSR/model_simple_transformer.py at main · H-deep/Trans-SVSR
Name Last commit message Last commit date Latest commit History 67 Commits data experiments former tests LICENSE README.md environment.yml setup.py README MIT license former Simple transformer implementation from scratch in pytorch. Seehttp://peterbloem.nl/blog/transformersfor an in-depth explanation...
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...
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 ...
Simple transformer implementation from scratch in pytorch. See http://peterbloem.nl/blog/transformers for an in-depth explanation. Limitations The current models are designed to show the simplicity of transformer models and self-attention. As such they will not scale as far as the bigger transforme...
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...