Update README.md

README.md

@@ -189,11 +189,24 @@ from span_marker import SpanMarkerModel
 model = SpanMarkerModel.from_pretrained("P0L3/CliReNER-bert-base-uncased")
 
 # Run inference
-text = "Anthropogenic climate change is fundamentally altering weather patterns and climate extremes, causing widespread adverse impacts to both nature and human systems (IPCC 2023)."
+text = "In the atmosphere, the frequency of extreme events is projected to rise sharply; for example, Chapman et al. (2023) show that in regions such as East Africa, without significant emission reductions, a historical 1-in-100-year rainfall event could become a 1-in-23-year occurrence by the end of the century. "
 entities = model.predict(text)
 
 for entity in entities:
     print(f"Entity: {entity['span']} | Label: {entity['label']} | Score: {entity['score']:.4f}")
+
+# Entity: atmosphere | Label: Location | Score: 0.3388
+# Entity: frequency | Label: Quantity | Score: 0.7958
+# Entity: extreme events | Label: Meteorological Phenomenon | Score: 0.5825
+# Entity: Chapman et al. | Label: Person | Score: 0.9214
+# Entity: 2023 | Label: Time Period | Score: 0.9920
+# Entity: regions | Label: Location | Score: 0.9397
+# Entity: emission reductions | Label: Physical Phenomenon | Score: 0.5641
+# Entity: 1-in-100-year | Label: Time Period | Score: 0.8089
+# Entity: rainfall event | Label: Meteorological Phenomenon | Score: 0.6794
+# Entity: 1-in-23-year | Label: Time Period | Score: 0.6802
+# Entity: end of the century | Label: Time Period | Score: 0.9589
+
 ```
 
 ### Downstream Use