Update README.md

README.md

@@ -74,6 +74,45 @@ Climate performance model card:
 - Non-scientific general-purpose text
 - Multilingual applications
 
+Example:
+``` python
+from transformers import AutoTokenizer, AutoModelForMaskedLM, pipeline
+import torch
+
+# Load the pretrained model and tokenizer
+model_name = "P0L3/clirebert_clirevocab_uncased"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForMaskedLM.from_pretrained(model_name)
+
+# Move model to GPU if available
+device = 0 if torch.cuda.is_available() else -1
+
+# Create a fill-mask pipeline
+fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer, device=device)
+
+# Example input from scientific climate literature
+text = "The increase in greenhouse gas emissions has significantly affected the <mask> balance of the Earth."
+
+# Run prediction
+predictions = fill_mask(text)
+
+# Show top predictions
+print(text)
+print(10*">")
+for p in predictions:
+    print(f"{p['sequence']} — {p['score']:.4f}")
+```
+Output:
+``` shell
+The increase in greenhouse gas emissions has significantly affected the <mask> balance of the Earth.
+>>>>>>>>>>
+The increase in greenhouse gas ... affected the energy balance of the Earth. — 0.7897
+The increase in greenhouse gas ... affected the radiation balance of the Earth. — 0.0522
+The increase in greenhouse gas ... affected the mass balance of the Earth. — 0.0401
+The increase in greenhouse gas ... affected the water balance of the Earth. — 0.0359
+The increase in greenhouse gas ... affected the carbon balance of the Earth. — 0.0190
+```
+
 ## ⚠️ Limitations
 - May reflect scientific publication biases