Update README.md

README.md

@@ -75,4 +75,25 @@ Model training on 120,000 assorted political documents -- mostly from the [Compa
 | 19 | 0.92 | 0.91 | 0.92 | 239 |
 | Accuracy | --- 0.85 --- | | | |
 | Macro Avg | 0.85 | 0.85 | 0.85 | 4720 |
-| Weighted Avg | 0.85 | 0.85 | 0.85 | 4720 |
+| Weighted Avg | 0.85 | 0.85 | 0.85 | 4720 |
+
+
+
+
+```{python}
+from transformers import AutoModelForSequenceClassification
+from transformers import TextClassificationPipeline, AutoTokenizer
+
+mp = 'z-dickson/CAP_multilingual'
+model = AutoModelForSequenceClassification.from_pretrained(mp)
+tokenizer =  AutoTokenizer.from_pretrained(mp)
+
+classifier = TextClassificationPipeline(tokenizer=tokenizer, model=model, device=0)
+
+classifier("""
+To ask the Secretary of State for Energy and Climate \\
+Change what estimate he has made of the proportion of carbon \\
+dioxide emissions arising in the UK attributable to burning.
+"""
+)
+```