Update README.md

README.md

@@ -20,13 +20,11 @@ widget:
 - text: "It's inspiring to see religious leaders speaking up for workers' rights and fair wages. Every voice matters in the #FightFor15! 💪🏽✊🏼 #Solidarity #WorkersRights"
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 # Model Card for: mmx_classifier_microblog_ENv02
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 Multi-label classifier that identifies which marketing mix variable(s) a microblog post pertains to.
 
 Version: 0.2 from August 16, 2023
 
 ## Model Details
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 You can use this classifier to determine which of the 4P's of marketing, also known as marketing mix variables, a microblog post (e.g., Tweet) pertains to:
 
 1. Product
@@ -35,7 +33,6 @@ You can use this classifier to determine which of the 4P's of marketing, also kn
 4. Promotion
 
 ### Model Description
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 This classifier is a fine-tuned checkpoint of [cardiffnlp/twitter-roberta-large-2022-154m] (https://huggingface.co/cardiffnlp/twitter-roberta-large-2022-154m). 
 It was trained on 15K Tweets that mentioned at least one of 699 brands. The Tweets were first cleaned and then labeled using OpenAI's GPT4. 
 
@@ -48,7 +45,6 @@ To obtain the probabilities for each label (i.e., marketing mix variable), you n
 Download the working paper from SSRN: ["Creating Synthetic Experts with Generative AI"](https://papers.ssrn.com/abstract_id=4542949)
 
 ### Quickstart
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 ```python
 # Imports
 import pandas as pd, numpy as np, warnings, torch, re