Update README.md

README.md

@@ -1,3 +1,46 @@
 ---
 license: mit
 ---
+
+# PoliticalBiasBERT
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+BERT finetuned on many examples of politically biased texts 
+## Usage
+```py
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+text = "your text here"
+
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model(**inputs, labels=labels)
+loss, logits = outputs[:2]
+
+# [0] -> left 
+# [1] -> center
+# [2] -> right
+print(logits) 
+
+```
+## References
+```
+@inproceedings{baly2020we,
+  author      = {Baly, Ramy and Da San Martino, Giovanni and Glass, James and Nakov, Preslav},
+  title       = {We Can Detect Your Bias: Predicting the Political Ideology of News Articles},
+  booktitle   = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
+  series      = {EMNLP~'20},
+  NOmonth     = {November},
+  year        = {2020}
+  pages       = {4982--4991},
+  NOpublisher = {Association for Computational Linguistics}
+}
+
+@article{bucket_bias2023,
+  organization={Bucket Research}
+  title={Political Bias Classification using finetuned BERT model}
+  year={2023}
+
+}
+```