Add chunking example

examples/code_examples/chunking.py

@@ -0,0 +1,30 @@
+from datasets import load_dataset
+from transformer_ranker import TransformerRanker
+
+# Load the 'conll2003' dataset
+dataset = load_dataset('conll2003')
+
+# Use smaller models to test on CPU
+models = ['prajjwal1/bert-tiny',
+          'google/electra-small-discriminator',
+          'microsoft/deberta-v3-small',
+          'bert-base-uncased',
+          ]
+
+# Initialize the ranker, set labels to chunk tags
+ranker = TransformerRanker(dataset=dataset,
+                           dataset_downsample=0.2,
+                           label_column='chunk_tags')
+
+# ... and run it
+result = ranker.run(models=models, batch_size=64)
+
+# Print the scores
+print(result)
+
+"""Result
+Rank 1. microsoft/deberta-v3-small: 4.398
+Rank 2. bert-base-uncased: 4.149
+Rank 3. google/electra-small-discriminator: 3.7423
+Rank 4. prajjwal1/bert-tiny: 2.9444
+"""