From 4f2b6579bf59b033e5eda27a51d4192e9c2d2623 Mon Sep 17 00:00:00 2001 From: pj Date: Fri, 27 Sep 2019 22:55:43 +0800 Subject: [PATCH] Fix some typos --- docs/source/quickstart.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/quickstart.md b/docs/source/quickstart.md index c73d3a5429..4eb04c17d2 100644 --- a/docs/source/quickstart.md +++ b/docs/source/quickstart.md @@ -19,12 +19,12 @@ The library was designed with two strong goals in mind: A few other goals: -- expose the models internals as consistently as possible: +- expose the models' internals as consistently as possible: - we give access, using a single API to the full hidden-states and attention weights, - tokenizer and base model's API are standardized to easily switch between models. -- incorporate a subjective selection of promising tools for fine-tuning/investiguating these models: +- incorporate a subjective selection of promising tools for fine-tuning/investigating these models: - a simple/consistent way to add new tokens to the vocabulary and embeddings for fine-tuning, - simple ways to mask and prune transformer heads. @@ -51,7 +51,7 @@ We'll finish this quickstart tour by going through a few simple quick-start exam Here are two examples showcasing a few `Bert` and `GPT2` classes and pre-trained models. -See full API reference for examples for each model classe. +See full API reference for examples for each model class. ### BERT example