Update README.md

README.md

@@ -14,37 +14,3 @@ widget:
 ## Reddit post classification
 
 This model predicts the subreddit of a provided post  
-The transformers library is required
-```
-pip install 'transformers[torch]'
-```
-
-```py
-from transformers import pipeline
-pipe = pipeline('text-classification', model='traberph/RedBERT')
-pipe("Biden says US is at tipping point on gun control: We will ban assault weapons in this country")
-```
-
-## Class Labels
-
-To translate the labels back to subreddit names you need to download the `subreddits.json` file from this repo manually
-
-```py
-import json
-s_count = 0
-s_data = []
-with open('subreddits.json', 'r') as file:
-    s_data = json.load(file)
-    s_count = len(s_data)
-labels = list(s_data.keys()) 
-
-def translate(d):
-    d['label'] = s_data[ labels[ int( d['label'].split('_')[1]) ]]
-    return d
-```
-
-Now the class labels can be translated back to subreddits 
-
-```py
-list(map(translate, pipe("Biden says US is at tipping point on gun control: We will ban assault weapons in this country")))
-```