From f7ee2e5d20d4de18400a353443a172782981e956 Mon Sep 17 00:00:00 2001 From: Julien Chaumond Date: Tue, 3 Sep 2019 10:29:41 -0400 Subject: [PATCH] [README] link to Write With Transformer --- README.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/README.md b/README.md index c473111f2b..e40852cd3e 100644 --- a/README.md +++ b/README.md @@ -21,6 +21,7 @@ These implementations have been tested on several datasets (see the example scri | Section | Description | |-|-| | [Installation](#installation) | How to install the package | +| [Online demo](#online-demo) | Experimenting with this repo’s text generation capabilities | | [Quick tour: Usage](#quick-tour) | Tokenizers & models usage: Bert and GPT-2 | | [Quick tour: Fine-tuning/usage scripts](#quick-tour-of-the-fine-tuningusage-scripts) | Using provided scripts: GLUE, SQuAD and Text generation | | [Migrating from pytorch-pretrained-bert to pytorch-transformers](#Migrating-from-pytorch-pretrained-bert-to-pytorch-transformers) | Migrating your code from pytorch-pretrained-bert to pytorch-transformers | @@ -68,6 +69,14 @@ It contains an example of a conversion script from a Pytorch trained Transformer At some point in the future, you'll be able to seamlessly move from pre-training or fine-tuning models in PyTorch to productizing them in CoreML, or prototype a model or an app in CoreML then research its hyperparameters or architecture from PyTorch. Super exciting! +## Online demo + +**[Write With Transformer](https://transformer.huggingface.co)**, built by the Hugging Face team at transformer.huggingface.co, is the official demo of this repo’s text generation capabilities. +You can use it to experiment with completions generated by `GPT2Model`, `TransfoXLModel`, and `XLNetModel`. + +> “🦄 Write with transformer is to writing what calculators are to calculus.” + +![write_with_transformer](https://transformer.huggingface.co/assets/thumbnail-large.png) ## Quick tour