Update README.md

README.md

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-license: mit
-language:
-- en
-metrics:
-- accuracy
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+---
+license: mit
+language:
+- en
+metrics:
+- accuracy
+---
 # Model Card for POLLCHECK/RoBERTa-classifier
 ## Model Description
 This RoBERTa model has been fine-tuned for a binary classification task to determine whether statements are 0 OR "biased/ fake" or 1 OR "unbiased/ real". The model is based on the RoBERTa architecture, a robustly optimized BERT pretraining approach.
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 Performance Metrics
 
 ## Usage
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+- [Sample News Bias Dataset (CSV)](https://huggingface.co/POLLCHECK/RoBERTa-classifier/blob/main/News_Bias_Samples.csv)
+- [Inference Script for RoBERTa Classifier (Python)](https://huggingface.co/POLLCHECK/RoBERTa-classifier/blob/main/inference-roberta.py)
+
 ```from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch