Create README.md

README.md

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+---
+license: gpl-2.0
+language:
+- en
+---
+
+# Fake News Recognition
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model is fine-tuned Roberta model 'jy46604790/Fake-News-Bert-Detect' (https://huggingface.co/jy46604790/Fake-News-Bert-Detect).
+This model is trained by 8 000 news articles from https://euvsdisinfo.eu/ portal.
+It can give result by simply entering the text of the news less than 512 words(the excess will be truncated automatically).
+
+Labels:
+* 0: Fake news
+* 1: Real news
+
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+### Download The Model
+```
+from transformers import pipeline
+MODEL = "winterForestStump/Roberta-fake-news-detector"
+clf = pipeline("text-classification", model=MODEL, tokenizer=MODEL)
+```
+
+### Feed Data
+```
+text = "From the very beginning, the EU has been extremely non-transparent. The deployment of the European Union presence in Armenia was carried out forcefully, under serious pressure from Brussels"
+```
+
+### Result
+```
+result = clf(text)
+result
+```
+
+### Output
+```
+[{'label': 'FAKE', 'score': 0.9999946355819702}]
+```