Update README.md

README.md

@@ -19,10 +19,10 @@ The model is similar to [gpt2](https://huggingface.co/gpt2) in that it shares it
 The model parameters of a [GPT2LMHeadModel](https://huggingface.co/docs/transformers/v4.26.1/en/model_doc/gpt2#transformers.GPT2LMHeadModel) model were randomly initialized and pre-trained from scratch using a dataset consisting only of news.
 
 ## Training Data
-The model's training data consists of ~13,000,000 english articles from ~90 outlets, which each consists of a headline (title) and a subheading (description). The articles were collected from the [Sciride News Mine](http://sciride.org/news.html), after which some additional cleaning was performed on the data, such as removing duplicate articles and removing repeated "outlet tags" appearing before or after headlines such as "| Daily Mail Online".
+The model's training data consists of ~13,000,000 English articles from ~90 outlets, which each consists of a headline (title) and a subheading (description). The articles were collected from the [Sciride News Mine](http://sciride.org/news.html), after which some additional cleaning was performed on the data, such as removing duplicate articles and removing repeated "outlet tags" appearing before or after headlines such as "| Daily Mail Online".
 
 ## How to use
-The model can be used with the Huggingface pipeline like so:
+The model can be used with the HuggingFace pipeline like so:
 ```python
 >>> from transformers import pipeline
 >>> generator = pipeline('text-generation', model='andyreas/newsgpt')